Given, N.A.[No Author],
Pattern recognition theory and the identification of Alamogordo
Rostrocarinoids,
PR(3), No. 2, July 1971, pp. 179-183.
Elsevier DOI
0309
BibRef
Nichol, D.G.,
The processing of bathythermograph data: A picture analysis approach,
PR(8), No. 4, October 1976, pp. 209-218.
Elsevier DOI
0309
BibRef
Cabello, E.[Enrique],
Sánchez, M.A.[M. Araceli],
Delgado, J.[Javier],
A New Approach to Identify Big Rocks with Applications to the Mining
Industry,
RealTimeImg(8), No. 1, February 2002, pp. 1-9.
DOI Link
0204
BibRef
Salinas, R.A.,
Raff, U.,
Farfan, C.,
Automated estimation of rock fragment distributions using computer
vision and its application in mining,
VISP(152), No. 1, February 2005, pp. 1-8.
IEEE Abstract.
0501
BibRef
Murtagh, F.[Fionn],
Qiao, X.Y.[Xiao-Yu],
Crookes, D.[Danny],
Walsh, P.[Paul],
Basheer, P.A.M.[P. A. Muhammed],
Long, A.[Adrian],
Starck, J.L.[Jean-Luc],
A machine vision approach to the grading of crushed aggregate,
MVA(16), No. 4, September 2005, pp. 229-235.
Springer DOI
0512
BibRef
Thurley, M.J.[Matthew J.],
Ng, K.C.[Kim C.],
Identification and sizing of the entirely visible rocks from a 3D
surface data segmentation of laboratory rock piles,
CVIU(111), No. 2, August 2008, pp. 170-178.
Elsevier DOI
0808
Image segmentation; 3D profile; Classification; Boundary-following;
Rock sizing; Region visibility
BibRef
Mukherjee, D.P.[Dipti Prasad],
Potapovich, Y.[Yury],
Levner, I.[Ilya],
Zhang, H.[Hong],
Ore image segmentation by learning image and shape features,
PRL(30), No. 6, 15 April 2009, pp. 615-622.
Elsevier DOI
0903
Ore fragment segmentation; Ore size analysis; Machine learning
BibRef
Wu, L.X.,
Liu, S.J.,
Wu, Y.H.,
Infrared Imaging Detection of Water Permeation on Field Large-Scale
Rock Relics,
GeoRS(49), No. 1, January 2011, pp. 581-590.
IEEE DOI
1101
BibRef
Fernández, A.[Antonio],
Ghita, O.[Ovidiu],
González, E.[Elena],
Bianconi, F.[Francesco],
Whelan, P.F.[Paul F.],
Evaluation of robustness against rotation of LBP, CCR and ILBP features
in granite texture classification,
MVA(22), No. 6, November 2011, pp. 913-926.
WWW Link.
1110
BibRef
Murphy, R.J.,
Monteiro, S.T.,
Schneider, S.,
Evaluating Classification Techniques for Mapping Vertical Geology Using
Field-Based Hyperspectral Sensors,
GeoRS(50), No. 8, August 2012, pp. 3066-3080.
IEEE DOI
1208
BibRef
Casey, K.,
Kääb, A.,
Estimation of Supraglacial Dust and Debris Geochemical Composition via
Satellite Reflectance and Emissivity,
RS(4), No. 9, September 2012, pp. 2554-2575.
DOI Link
1210
BibRef
Murphy, R.J.,
Chlingaryan, A.,
Melkumyan, A.,
Gaussian Processes for Estimating Wavelength Position of the Ferric
Iron Crystal Field Feature at 900nm From Hyperspectral Imagery
Acquired in the Short-Wave Infrared (1002-1355 nm),
GeoRS(53), No. 4, April 2015, pp. 1907-1920.
IEEE DOI
1502
Gaussian processes
BibRef
Omran, A.[Adel],
Hahn, M.[Michael],
Hochschild, V.[Volker],
El-Rayes, A.[Ahmed],
Geriesh, M.[Mohamed],
Lithological Mapping of Dahab Basin, South Sinai, Egypt, using ASTER
Data,
PFG(2012), No. 6, 2012, pp. 711-726.
WWW Link.
1302
BibRef
Tian, M.,
Gasiewski, A.J.,
A Unified Microwave Radiative Transfer Model for
General Planar Stratified Media: Slab Formulation,
GeoRS(51), No. 7, 2013, pp. 4103-4118.
IEEE DOI Jacobian matrices; polarization; symmetric and positive definite matrix
1307
BibRef
van Hoesen, J.G.[John G.],
A Geographic Information Systems (GIS)-Based Approach to Derivative
Map Production and Visualizing Bedrock Topography within the Town of
Rutland, Vermont, USA,
IJGI(3), No. 1, 2014, pp. 130-142.
DOI Link
1412
BibRef
Hartzell, P.J.[Preston J.],
Glennie, C.L.[Craig L.],
Biber, K.[Kivanc],
Khan, S.[Shuhab],
Application of multispectral LiDAR to automated virtual outcrop
geology,
PandRS(88), No. 1, 2014, pp. 147-155.
Elsevier DOI
1412
Laser scanning
BibRef
Zaini, N.[Nasrullah],
van der Meer, F.[Freek],
van der Werff, H.[Harald],
Determination of Carbonate Rock Chemistry Using Laboratory-Based
Hyperspectral Imagery,
RS(6), No. 5, 2014, pp. 4149-4172.
DOI Link
1407
BibRef
Penasa, L.[Luca],
Franceschi, M.[Marco],
Preto, N.[Nereo],
Teza, G.[Giordano],
Polito, V.[Vanessa],
Integration of intensity textures and local geometry descriptors from
Terrestrial Laser Scanning to map chert in outcrops,
PandRS(93), No. 1, 2014, pp. 88-97.
Elsevier DOI
1407
TLS
BibRef
Andreani, L.[Louis],
Stanek, K.P.[Klaus P.],
Gloaguen, R.[Richard],
Krentz, O.[Ottomar],
Domínguez-González, L.[Leomaris],
DEM-Based Analysis of Interactions between Tectonics and Landscapes
in the Ore Mountains and Eger Rift (East Germany and NW Czech
Republic),
RS(6), No. 9, 2014, pp. 7971-8001.
DOI Link
1410
BibRef
Murphy, R.J.[Richard J.],
Schneider, S.[Sven],
Monteiro, S.T.[Sildomar T.],
Mapping Layers of Clay in a Vertical Geological Surface Using
Hyperspectral Imagery: Variability in Parameters of SWIR Absorption
Features under Different Conditions of Illumination,
RS(6), No. 9, 2014, pp. 9104-9129.
DOI Link
1410
BibRef
Leverington, D.,
Moon, W.,
Landsat-TM-Based Discrimination of Lithological Units Associated with
the Purtuniq Ophiolite, Quebec, Canada,
RS(4), No. 5, May 2012, pp. 1208-1231.
DOI Link
1205
BibRef
Othman, A.A.[Arsalan A.],
Gloaguen, R.[Richard],
Improving Lithological Mapping by SVM Classification of Spectral and
Morphological Features: The Discovery of a New Chromite Body in the
Mawat Ophiolite Complex (Kurdistan, NE Iraq),
RS(6), No. 8, 2014, pp. 6867-6896.
DOI Link
1410
BibRef
Grebby, S.[Stephen],
Cunningham, D.[Dickson],
Tansey, K.[Kevin],
Naden, J.[Jonathan],
The Impact of Vegetation on Lithological Mapping Using Airborne
Multispectral Data: A Case Study for the North Troodos Region, Cyprus,
RS(6), No. 11, 2014, pp. 10860-10887.
DOI Link
1412
BibRef
Christie, G.[Gordon],
Kochersberger, K.[Kevin],
Abbott, A.L.[A. Lynn],
Fast inspection for size-based analysis in aggregate processing,
MVA(26), No. 1, January 2015, pp. 31-40.
Springer DOI
1503
Rocks, gravel.
BibRef
Bianconi, F.[Francesco],
Maria, F.D.[Francesco Di],
Micale, C.[Caterina],
Fernández, A.[Antonio],
Harvey, R.W.[Richard W.],
Grain-size assessment of fine and coarse aggregates through bipolar
area morphology,
MVA(26), No. 6, August 2015, pp. 775-789.
Springer DOI
1508
BibRef
Xie, X.J.[Xiang-Jian],
Tian, S.F.[Shu-Fang],
Du, P.J.[Pei-Jun],
Zhan, W.F.[Wen-Feng],
Samat, A.[Alim],
Chen, J.[Jike],
Quantitative Estimation of Carbonate Rock Fraction in Karst Regions
Using Field Spectra in 2.0-2.5 µm,
RS(8), No. 1, 2016, pp. 68.
DOI Link
1602
BibRef
Laakso, K.,
Rivard, B.,
Rogge, D.,
Enhanced detection of gossans using hyperspectral data:
Example from the Cape Smith Belt of northern Quebec, Canada,
PandRS(114), No. 1, 2016, pp. 137-150.
Elsevier DOI
1604
Gossan: intensely oxidized, weathered or decomposed rock, usually the
upper and exposed part of an ore deposit or mineral vein.
BibRef
Zhu, L.F.[Liang-Feng],
Kan, W.S.[Wen-Sheng],
Zhang, Y.[Yu],
Sun, J.Z.[Jian-Zhong],
Visualizing the Structure of the Earth's Lithosphere on the Google
Earth Virtual-Globe Platform,
IJGI(5), No. 3, 2016, pp. 26.
DOI Link
1604
BibRef
Okyay, Ü.[Ünal],
Khan, S.D.[Shuhab D.],
Lakshmikantha, M.R.,
Sarmiento, S.[Sergio],
Ground-Based Hyperspectral Image Analysis of the Lower Mississippian
(Osagean) Reeds Spring Formation Rocks in Southwestern Missouri,
RS(8), No. 12, 2016, pp. 1018.
DOI Link
1612
BibRef
Shehab, F.,
Myers, M.T.,
Ott, H.,
Dolan, S.,
Dietderich, J.,
Bayazitoglu, Y.,
Uniaxial Complex Relative Permittivity Tensor Measurement of Rocks
From 40 Hz to 4.5 GHz,
GeoRS(55), No. 2, February 2017, pp. 1125-1139.
IEEE DOI
1702
geophysical techniques
BibRef
Tos, C.[Cezary],
The Use of a Modified Camera for the Classification of Sedimentary
Rocks,
PFG(2016), No. 4, 2016, pp. 191-210.
DOI Link
1703
BibRef
Ge, W.Y.[Wen-Yan],
Cheng, Q.M.[Qiu-Ming],
Tang, Y.W.[Yun-Wei],
Jing, L.H.[Lin-Hai],
Gao, C.S.[Chun-Sheng],
Lithological Classification Using Sentinel-2A Data in the Shibanjing
Ophiolite Complex in Inner Mongolia, China,
RS(10), No. 4, 2018, pp. xx-yy.
DOI Link
1805
BibRef
Huang, J.W.[Jian-Wei],
Liu, S.J.[Shan-Jun],
Gao, X.[Xiang],
Yang, Z.C.[Zheng-Cang],
Ni, Q.A.[Qi-Ang],
Wu, L.X.[Li-Xin],
Experimental Study of the Thermal Infrared Emissivity Variation of
Loaded Rock and Its Significance,
RS(10), No. 6, 2018, pp. xx-yy.
DOI Link
1806
BibRef
Huang, J.W.[Jian-Wei],
Liu, S.J.[Shan-Jun],
Liu, W.F.[Wen-Fang],
Zhang, C.J.[Chun-Ju],
Li, S.P.[Shui-Ping],
Yu, M.[Min],
Wu, L.X.[Li-Xin],
Experimental Study on the Thermal Infrared Spectral Variation of
Fractured Rock,
RS(13), No. 6, 2021, pp. xx-yy.
DOI Link
2104
BibRef
Lu, J.,
Yang, H.,
Phase-Space Sketching for Crystal Image Analysis Based on
Synchrosqueezed Transforms,
SIIMS(11), No. 3, 2018, pp. 1954-1978.
DOI Link
1810
BibRef
Feng, R.,
Luthi, S.M.,
Gisolf, D.,
Angerer, E.,
Reservoir Lithology Determination by Hidden Markov Random Fields
Based on a Gaussian Mixture Model,
GeoRS(56), No. 11, November 2018, pp. 6663-6673.
IEEE DOI
1811
Hidden Markov models, Markov processes, Reservoirs, Bayes methods,
Rocks, Gaussian mixture model,
transition matrix
BibRef
Song, D.M.[Dong-Mei],
Xie, R.H.[Rui-Huan],
Zang, L.[Lin],
Yin, J.Y.[Jing-Yuan],
Qin, K.[Kai],
Shan, X.J.[Xin-Jian],
Cui, J.Y.[Jian-Yong],
Wang, B.[Bin],
A New Algorithm for the Characterization of Thermal Infrared
Anomalies in Tectonic Activities,
RS(10), No. 12, 2018, pp. xx-yy.
DOI Link
1901
BibRef
Huang, L.C.[Ling-Cao],
Liu, L.[Lin],
Jiang, L.M.[Li-Ming],
Zhang, T.J.[Ting-Jun],
Automatic Mapping of Thermokarst Landforms from Remote Sensing Images
Using Deep Learning: A Case Study in the Northeastern Tibetan Plateau,
RS(10), No. 12, 2018, pp. xx-yy.
DOI Link
1901
BibRef
Niroumand-Jadidi, M.[Milad],
Pahlevan, N.[Nima],
Vitti, A.[Alfonso],
Mapping Substrate Types and Compositions in Shallow Streams,
RS(11), No. 3, 2019, pp. xx-yy.
DOI Link
1902
BibRef
Chicco, J.M.[Jessica Maria],
Vacha, D.[Damiano],
Mandrone, G.[Giuseppe],
Thermo-Physical and Geo-Mechanical Characterization of Faulted
Carbonate Rock Masses (Valdieri, Italy),
RS(11), No. 2, 2019, pp. xx-yy.
DOI Link
1902
BibRef
Chen, F.[Fujiang],
Three dimensional image of stress space geotechnical constitutive
model,
JVCIR(60), 2019, pp. 398-406.
Elsevier DOI
1903
Rock and soil, Elastoplasticity, Constitutive model, Numerical simulation
BibRef
Liu, L.P.[Lu-Peng],
Xiao, J.[Jun],
Wang, Y.[Ying],
Major Orientation Estimation-Based Rock Surface Extraction for 3D
Rock-Mass Point Clouds,
RS(11), No. 6, 2019, pp. xx-yy.
DOI Link
1903
BibRef
Ju, Y.,
Huang, Y.,
Gong, W.,
Zheng, J.,
Xie, H.,
Wang, L.,
Qian, X.,
3-D Reconstruction Method for Complex Pore Structures of Rocks Using
a Small Number of 2-D X-Ray Computed Tomography Images,
GeoRS(57), No. 4, April 2019, pp. 1873-1882.
IEEE DOI
1904
computerised tomography, geophysical image processing,
geophysical techniques, hydrocarbon reservoirs,
pore structure
BibRef
Abrams, M.[Michael],
Yamaguchi, Y.S.[Yasu-Shi],
Twenty Years of ASTER Contributions to Lithologic Mapping and Mineral
Exploration,
RS(11), No. 11, 2019, pp. xx-yy.
DOI Link
1906
BibRef
Bachri, I.[Imane],
Hakdaoui, M.[Mustapha],
Raji, M.[Mohammed],
Teodoro, A.C.[Ana Cláudia],
Benbouziane, A.[Abdelmajid],
Machine Learning Algorithms for Automatic Lithological Mapping Using
Remote Sensing Data: A Case Study from Souk Arbaa Sahel, Sidi Ifni
Inlier, Western Anti-Atlas, Morocco,
IJGI(8), No. 6, 2019, pp. xx-yy.
DOI Link
1908
BibRef
Jin, G.,
Xie, R.,
Liu, M.,
Guo, J.,
Petrophysical Parameter Calculation Based on NMR Echo Data in Tight
Sandstone,
GeoRS(57), No. 8, August 2019, pp. 5618-5625.
IEEE DOI
1908
hydrocarbon reservoirs, nuclear magnetic resonance, petrology,
rocks, well logging, petrophysical parameter calculation,
tight sandstone
BibRef
Auriol, J.,
Kazemi, N.,
Shor, R.J.,
Innanen, K.A.,
Gates, I.D.,
A Sensing and Computational Framework for Estimating the Seismic
Velocities of Rocks Interacting With the Drill Bit,
GeoRS(58), No. 5, May 2020, pp. 3178-3189.
IEEE DOI
2005
Delay systems, oil drilling, parameter estimation,
seismic measurements, seismic waves
BibRef
Kokinou, E.[Eleni],
Panagiotakis, C.[Costas],
Automatic Pattern Recognition of Tectonic Lineaments in Seafloor
Morphology to Contribute in the Structural Analysis of Potentially
Hydrocarbon-Rich Areas,
RS(12), No. 10, 2020, pp. xx-yy.
DOI Link
2006
BibRef
Mao, Z.Q.[Zhi-Qiang],
Chen, C.H.[Chieh-Hung],
Zhang, S.[Suqin],
Yisimayili, A.[Aisa],
Yu, H.Z.[Huai-Zhong],
Yu, C.[Chen],
Liu, J.Y.[Jann-Yenq],
Locating Seismo-Conductivity Anomaly before the 2017 MW 6.5
Jiuzhaigou Earthquake in China Using Far Magnetic Stations,
RS(12), No. 11, 2020, pp. xx-yy.
DOI Link
2006
BibRef
Zhang, X.Y.[Xin-Yu],
Zhang, J.Q.A.[Jun-Qi-Ang],
Tian, Y.P.[Yi-Ping],
Li, Z.L.[Zhi-Long],
Zhang, Y.[Yi],
Xu, L.[Lirui],
Wang, S.[Song],
Urban Geological 3D Modeling Based on Papery Borehole Log,
IJGI(9), No. 6, 2020, pp. xx-yy.
DOI Link
2006
BibRef
Zhou, P.[Ping],
Chen, G.[Gang],
Wang, M.W.[Ming-Wei],
Chen, J.[Jifa],
Li, Y.Z.[Yi-Zhe],
Sediment Classification of Acoustic Backscatter Image Based on
Stacked Denoising Autoencoder and Modified Extreme Learning Machine,
RS(12), No. 22, 2020, pp. xx-yy.
DOI Link
2011
BibRef
Jiang, F.[Feng],
Li, N.[Na],
Zhou, L.[Lili],
Grain segmentation of sandstone images based on convolutional neural
networks and weighted fuzzy clustering,
IET-IPR(14), No. 14, December 2020, pp. 3499-3507.
DOI Link
2012
BibRef
Jiang, F.[Feng],
Gu, Q.,
Hao, H.,
Li, N.[Na],
Feature Extraction and Grain Segmentation of Sandstone Images Based
on Convolutional Neural Networks,
ICPR18(2636-2641)
IEEE DOI
1812
Feature extraction, Minerals, Image segmentation, Merging,
Clustering algorithms, Microscopy, Cost function
BibRef
Jiang, F.[Feng],
Gu, Q.[Qing],
Hau, H.Z.[Hui-Zhen],
Li, N.[Na],
Grain segmentation of multi-angle petrographic thin section
microscopic images,
ICIP17(3879-3883)
IEEE DOI
1803
Brightness, Feature extraction, Image color analysis,
Image segmentation, Merging, Microscopy, Minerals,
superpixel
BibRef
Visalli, R.[Roberto],
Ortolano, G.[Gaetano],
Godard, G.[Gaston],
Cirrincione, R.[Rosolino],
Micro-Fabric Analyzer (MFA): A New Semiautomated ArcGIS-Based Edge
Detector for Quantitative Microstructural Analysis of Rock
Thin-Sections,
IJGI(10), No. 2, 2021, pp. xx-yy.
DOI Link
2103
BibRef
Liu, Z.H.[Zhi-Heng],
Han, L.[Ling],
Du, C.Y.[Cheng-Yan],
Cao, H.Y.[Hong-Ye],
Guo, J.H.[Jian-Hua],
Wang, H.Y.[Hai-Yang],
Fractal and Multifractal Characteristics of Lineaments in the Qianhe
Graben and Its Tectonic Significance Using Remote Sensing Images,
RS(13), No. 4, 2021, pp. xx-yy.
DOI Link
2103
BibRef
Grechi, G.[Guglielmo],
Fiorucci, M.[Matteo],
Marmoni, G.M.[Gian Marco],
Martino, S.[Salvatore],
3D Thermal Monitoring of Jointed Rock Masses through Infrared
Thermography and Photogrammetry,
RS(13), No. 5, 2021, pp. xx-yy.
DOI Link
2103
BibRef
Mugnai, F.[Francesco],
Farina, P.[Paolo],
Tucci, G.[Grazia],
Exploiting a Semi-Automatic Point Cloud Segmentation Method to
Improve the Quality of Rock-Mass Characterization. The Cima Grappa
Conservative Restoration Case Study,
IJGI(10), No. 5, 2021, pp. xx-yy.
DOI Link
2106
BibRef
Loiotine, L.[Lidia],
Wolff, C.[Charlotte],
Wyser, E.[Emmanuel],
Andriani, G.F.[Gioacchino Francesco],
Derron, M.H.[Marc-Henri],
Jaboyedoff, M.[Michel],
Parise, M.[Mario],
QDC-2D: A Semi-Automatic Tool for 2D Analysis of Discontinuities for
Rock Mass Characterization,
RS(13), No. 24, 2021, pp. xx-yy.
DOI Link
2112
BibRef
Qiao, P.[Ping],
Wang, L.[Lei],
Yuan, X.[Xiyong],
Deng, S.[Shaogui],
A New Approximation Modeling Method for the Triaxial Induction
Logging in Planar-Stratified Biaxial Anisotropic Formations,
RS(16), No. 16, 2024, pp. 3076.
DOI Link
2408
Well logging, geophysical
BibRef
Rincón, O.,
Ocampo, M.,
Weak rocks disintegration patterns recognition through image analysis,
MVA17(338-341)
DOI Link
1708
Entropy, Histograms, Image analysis, Image color analysis, Indexes,
Rocks, Surface cracks
BibRef
Ding, H.[Hu],
Tao, F.[Fei],
Zhao, W.F.[Wu-Fan],
Na, J.[Jia_Ming],
Tang, G.[Guo'an],
An Object-based Method For Chinese Landform Types Classification,
ISPRS16(B7: 213-217).
DOI Link
1610
BibRef
Dewez, T.J.B.,
Girardeau-Montaut, D.,
Allanic, C.,
Rohmer, J.,
Facets: A Cloudcompare Plugin To Extract Geological Planes From
Unstructured 3d Point Clouds,
ISPRS16(B5: 799-804).
DOI Link
1610
BibRef
Tran, T.D.[Tuan Dung],
Ho, T.H.M.[Thi Huong Mai],
Contribution Of Satellite Altimetry Data In Geological Structure
Research In The South China Sea,
ISPRS16(B8: 1187-1190).
DOI Link
1610
BibRef
Raeva, P.L.,
Filipova, S.L.,
Filipov, D.G.,
Volume Computation Of A Stockpile: A Study Case Comparing GPS And UAV
Measurements In An Open Pit Quarry,
ISPRS16(B1: 999-1004).
DOI Link
1610
BibRef
Pour, A.B.[Amin Beiranvand],
Hashim, M.[Mazlan],
Gold Mineral Prospecting Using Phased Array Type L-band Synthetic
Aperture Radar (palsar) Satellite Remote Sensing Data, Central Gold
Belt, Malaysia,
ISPRS16(B8: 409-412).
DOI Link
1610
BibRef
Salehi, S.,
Karami, M.,
Fensholt, R.,
Identification Of A Robust Lichen Index For The Deconvolution Of Lichen
And Rock Mixtures Using Pattern Search Algorithm (case Study: Greenland),
ISPRS16(B7: 973-979).
DOI Link
1610
BibRef
Thoeni, K.,
Guccione, D.E.,
Santise, M.,
Giacomini, A.,
Roncella, R.,
Forlani, G.,
The Potential Of Low-cost Rpas For Multi-view Reconstruction Of
Sub-vertical Rock Faces,
ISPRS16(B5: 909-916).
DOI Link
1610
BibRef
Palecek, V.,
Kubícek, P.,
Multiparameter Correction Intensity Of Terrestrial Laser Scanning Data
As An Input For Rock Surface Modelling,
ISPRS16(B3: 367-372).
DOI Link
1610
BibRef
Chhatkuli, S.,
Kawamura, K.,
Manno, K.,
Satoh, T.,
Tachibana, K.,
An Approach To Automatic Detection And Hazard Risk Assessment Of Large
Protruding Rocks In Densely Forested Hilly Region,
ISPRS16(B3: 195-199).
DOI Link
1610
BibRef
van Vuuren, P.A.,
Dorland, H.C.,
Le Roux, M.,
Venter, W.C.,
Erasmus, P.,
Dorland, M.I.,
Campbell, Q.P.,
Using visual texture analysis to classify raw coal components,
WSSIP15(212-215)
IEEE DOI
1603
coal
BibRef
Arnab, A.[Anurag],
Sapienza, M.[Michael],
Golodetz, S.[Stuart],
Valentin, J.[Julien],
Miksik, O.[Ondrej],
Izadi, S.[Shahram],
Torr, P.H.S.[Philip H.S.],
Joint Object-Material Category Segmentation from Audio-Visual Cues,
BMVC15(xx-yy).
DOI Link
1601
Appear the same, tap the object.
BibRef
Samet, R.,
Amrahov, S.E.,
Ziroglu, A.H.,
Fuzzy Rule-Based Image Segmentation technique for rock thin section
images,
IPTA12(402-406)
IEEE DOI
1503
fuzzy reasoning
BibRef
Malladi, S.R.S.P.,
Ram, S.,
Rodriguez, J.J.,
Superpixels using morphology for rock image segmentation,
Southwest14(145-148)
IEEE DOI
1406
geophysical image processing
BibRef
Gong, X.J.[Xiao-Jin],
Liu, J.L.[Ji-Lin],
Rock detection via superpixel graph cuts,
ICIP12(2149-2152).
IEEE DOI
1302
BibRef
Rieke-Zapp, D.H.,
Beer, A.,
Turowski, J.M.,
Campana, L.,
In Situ Measurement of Bedrock Erosion,
ISPRS12(XXXIX-B5:429-433).
DOI Link
1209
BibRef
Chandler, J.H.,
Buckley, S.J.,
Rieke-Zapp, D.H.,
Wackrow, R.,
Photogrammetry and Laser Scanning for The Earth Sciencesworking Group
V6,
ISPRS12(XXXIX-B5:411-416).
DOI Link
1209
BibRef
Kurz, T.H.,
Buckley, S.J.,
Howell, J.A.,
Close Range Hyperspectral Imaging Integrated With Terrestrial Lidar
Scanning Applied To Rock Characterisation At Centimetre Scale,
ISPRS12(XXXIX-B5:417-422).
DOI Link
1209
BibRef
Markoski, P.R.,
Rolim, S.B.A.,
Evaluation Of Aster Images For Characterization And Mapping Of Amethyst
Mining Residues,
AnnalsPRS(I-7), No. 2012, pp. 153-158.
DOI Link
1209
BibRef
Tian, Q.,
Study on Oil-Gas Reservoir Detecting Methods Using Hyperspectral Remote
Sensing,
ISPRS12(XXXIX-B7:157-162).
DOI Link
1209
BibRef
Jayappa, K.S.,
Markose, V.J.,
Nagaraju, M.,
Identification Of Geomorphic Signatures Of Neotectonic Activity Using
Dem In The Precambrian Terrain Of Western Ghats, India,
ISPRS12(XXXIX-B8:215-220).
DOI Link
1209
BibRef
Holden, E.J.,
Kovesi, P.,
Dentith, M.C.,
Wedge, D.,
Wong, J.C.,
Fu, S.C.[Shih Ching],
Detection of regions of structural complexity within aeromagnetic data
using image analysis,
IVCNZ10(1-8).
IEEE DOI
1203
BibRef
Oh, S.C.[Sung-Chan],
Park, H.D.[Hyeong-Dong],
Jo, Y.D.[Young Do],
Automatic Extraction of Rock Joints From Laser Scanned Data By Moving
Least Squares Method And Fuzzy K-Means Clustering,
Laser11(xx-yy).
DOI Link
1109
BibRef
Amankwah, A.,
Aldrich, C.,
Rock image segmentation using watershed with shape markers,
AIPR10(1-7).
IEEE DOI
1010
BibRef
Bauer, T.E.[Tobias Erich],
Tavakoli, S.[Saman],
Dehghannejad, M.[Mahdieh],
Garcia, M.[Maria],
Weihed, P.[Pär],
4-dimensional geological modelling of the Skellefte District, Sweden,
GeoInfo10(xx-yy).
PDF File.
1011
BibRef
Wu, D.[Defu],
Peng, P.[Pei],
Tor, Y.K.[Yam Khoon],
The Digital Rock Engineering System based on 3D GIS Technology,
GeoInfo10(xx-yy).
PDF File.
1011
BibRef
Newell, A.J.[Andrew J.],
Griffin, L.D.[Lewis D.],
Morgan, R.M.[Ruth M.],
Bull, P.A.[Peter A.],
Texture-Based Estimation of Physical Characteristics of Sand Grains,
DICTA10(504-509).
IEEE DOI
1012
BibRef
Salehizadeh, M.[Mohammad],
Sadeghi, M.T.[Mohammad T.],
Size Distribution Estimation of Stone Fragments via Digital Image
Processing,
ISVC10(III: 329-338).
Springer DOI
1011
BibRef
Li, B.[Bo],
Zhang, T.S.[Ting-Shan],
Bai, L.[Liye],
Miao, X.G.[Xiao-Guang],
Components classification of the clastic rock thin-sections based on
GIS,
IASP10(327-331).
IEEE DOI
1004
BibRef
Liu, M.H.[Ming-Hao],
Jin, W.B.,
Wang, W.X.,
Detection of Rock Fractures Junction in Gray-Level Images,
CISP09(1-6).
IEEE DOI
0910
BibRef
Shi, J.[Jichuan],
Zhang, H.[Hong],
Ray, N.[Nilanjan],
Solidity based local threshold for oil sand image segmentation,
ICIP09(2385-2388).
IEEE DOI
0911
See also Shape based local thresholding for binarization of document images.
BibRef
Goncalves, L.B.,
Leta, F.R.,
de Valente, S.C.,
Macroscopic Rock Texture Image Classification Using an Hierarchical
Neuro-Fuzzy System,
WSSIP09(1-5).
IEEE DOI
0906
BibRef
Xi, Y.F.[Yu-Fei],
Liu, T.Y.[Tian-You],
Wu, X.Y.[Xiao-Yang],
Application of Fractal Technique in Nonlinear Geophysical Signal
Processing,
CISP09(1-4).
IEEE DOI
0910
BibRef
Wang, B.J.[Bao-Jun],
Shi, B.[Bin],
Particle Extraction and Quantitative Analysis of Soil Microstructure
from SEM Using Spatial Analyst Tools in ArcGIS,
CISP09(1-5).
IEEE DOI
0910
BibRef
Yang, Y.S.[Yu-Shan],
Li, Y.Y.[Yuan-Yuan],
Spectral Analysis of Geomagnetic Data with Continuous Wavelet Transform,
CISP09(1-4).
IEEE DOI
0910
BibRef
Zhao, Q.A.[Qi-Ang],
Yang, J.[Jie],
Yang, J.Y.[Jing-Yi],
Liu, H.X.[Hong-Xing],
Stone images retrieval based on color histogram,
IASP09(157-161).
IEEE DOI
0904
BibRef
Chen, Y.C.[Yu-Chao],
Liu, H.[Hui],
Study on the meso-structure image of shale based on the digital image
processing technique,
IASP09(150-153).
IEEE DOI
0904
BibRef
Andersson, T.,
Thurley, M.J.,
Visibility Classification of Rocks in Piles,
DICTA08(207-213).
IEEE DOI
0812
BibRef
Skurichina, M.[Marina],
Verzakov, S.[Sergey],
Paclik, P.[Pavel],
Duin, R.P.W.[Robert P. W.],
Effectiveness of Spectral Band Selection/Extraction Techniques for
Spectral Data,
SSPR06(541-550).
Springer DOI
0608
BibRef
Mkwelo, S.[Simphiwe],
Nicolls, F.[Frederick],
de Jager, G.[Gerhard],
Range and Intensity Vision for Rock-Scene Segmentation,
CIARP07(340-349).
Springer DOI
0711
BibRef
Dunlop, H.[Heather],
Thompson, D.R.[David R.],
Wettergreen, D.[David],
Multi-scale Features for Detection and Segmentation of Rocks in Mars
Images,
CVPR07(1-7).
IEEE DOI
0706
BibRef
Lira, C.[Cristina],
Pina, P.[Pedro],
Sedimentological Analysis of Sands,
IbPRIA07(II: 388-395).
Springer DOI
0706
BibRef
Bornaz, L.,
Porporato, C.,
Mayoraz, R.,
Rinaudo, F.,
Rouiller, J.D.,
A case example for laser data treatment to study rocky faces with
protection barriers,
IEVM06(xx-yy).
PDF File.
0609
BibRef
Lepistö, L.[Leena],
Kunttu, I.[Iivari],
Visa, A.[Ari],
Color-Based Classification of Natural Rock Images Using Classifier
Combinations,
SCIA05(901-909).
Springer DOI
0506
BibRef
Lepistö, L.[Leena],
Kunttu, I.[Iivari],
Autio, J.[Jorma],
Visa, A.[Ari],
Classification of Natural Images Using Supervised and Unsupervised
Classifier Combinations,
CIAP05(770-777).
Springer DOI
0509
BibRef
Lepistö, L.[Leena],
Kunttu, I.[Iivari],
Lähdeniemi, M.[Matti],
Tähti, T.[Tero],
Nurmi, J.[Juha],
Grain Size Measurement of Crystalline Products Using Maximum Difference
Method,
SCIA07(403-410).
Springer DOI
0706
BibRef
Paclík, P.,
Verzakov, S.,
Duin, R.P.W.,
Improving the Maximum-Likelihood Co-occurrence Classifier:
A Study on Classification of Inhomogeneous Rock Images,
SCIA05(998-1008).
Springer DOI
0506
BibRef
Green, D.,
Cosmas, J.,
Itagaki, T.,
Visualizing legacy stratigraphic data from archaeological handbooks,
3DPVT02(750-753).
IEEE DOI
0206
BibRef
Dehmeshki, J.,
Daemi, M.F.,
Miles, N.J.,
Atkin, B.P.,
Marston, R.E.,
Classification of Coal Images by a Multi-Scale Segmentation Techniques,
SCV95(271-276).
IEEE DOI University of Nottingham.
BibRef
9500
Smith, P.W.,
Nandhakumar, N.,
An automated stereoscopic coal profiling system: CCLPS,
WACV94(10-17).
IEEE Abstract.
0403
BibRef
Tian, S.F.[Sheng-Feng],
Zhang, Q.[Qing],
Mo, Y.B.[Yuan-Bin],
A rock classification expert system,
ICPR88(II: 643-645).
IEEE DOI
8811
BibRef
Chapter on Implementations and Applications, Databases, QBIC, Video Analysis, Hardware and Software, Inspection continues in
Mineral Composition Analysis, Material Composition .