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Aquaculture, Internet, Monitoring, Object oriented modeling,
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Wu, Y.L.[Yan-Lun],
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See also Mapping Photovoltaic Panels in Coastal China Using Sentinel-1 and Sentinel-2 Images and Google Earth Engine.
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Chen, X.H.[Xiao-Hong],
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Improving Satellite Retrieval of Coastal Aquaculture Pond by Adding
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RS(14), No. 14, 2022, pp. xx-yy.
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Chen, Y.L.[Yan-Lin],
He, G.J.[Guo-Jin],
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Wang, G.Z.[Gui-Zhou],
Comparative Study of Marine Ranching Recognition in Multi-Temporal
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2212
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Cheng, J.[Jie],
Jia, N.[Nan],
Chen, R.[Ruishan],
Guo, X.N.[Xiao-Na],
Ge, J.Z.[Jian-Zhong],
Zhou, F.[Fucang],
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Chen, Z.[Zikun],
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Li, L.L.[Ling-Ling],
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Bao, W.X.[Wen-Xuan],
An Object-Oriented Method for Extracting Single-Object Aquaculture
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Huang, J.L.[Jin-Liang],
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Shi, X.F.[Xiao-Fei],
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Nurdin, N.[Nurjannah],
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Asis, H.[Hasni],
Zainuddin, E.N.[Elmi Nurhaidah],
Aris, A.[Agus],
Oiry, S.[Simon],
Brunier, G.[Guillaume],
Komatsu, T.[Teruhisa],
Barillé, L.[Laurent],
Precision Aquaculture Drone Mapping of the Spatial Distribution of
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DOI Link
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Bahousse, E.[El_Houssine],
Wahbi, M.[Miriam],
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GIS-Based Multi-Criteria Evaluation (MCE) Methods for Aquaculture
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DOI Link
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Zhang, J.J.[Jia-Jun],
Yang, X.M.[Xiao-Mei],
Wang, Z.H.[Zhi-Hua],
Spatial-Temporal Mapping and Landscape Influence of Aquaculture
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RS(15), No. 23, 2023, pp. 5477.
DOI Link
2312
BibRef
Ren, Y.G.[You-Gui],
Yang, X.M.[Xiao-Mei],
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Yu, G.[Ge],
Liu, Y.M.[Yue-Ming],
Liu, X.L.[Xiao-Liang],
Meng, D.[Dan],
Zhang, Q.Y.[Qing-Yang],
Yu, G.[Guo],
Segment Anything Model (SAM) Assisted Remote Sensing Supervision for
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RS(15), No. 24, 2023, pp. 5781.
DOI Link
2401
BibRef
Sedighkia, M.[Mahdi],
Datta, B.[Bithin],
Suitability Assessment of Cage Fish Farming Location in Reservoirs
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DOI Link
2402
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He, Y.L.[Ying-Li],
Zhou, Y.[Yan],
Freshwater Aquaculture Mapping in 'Home of Chinese Crawfish' by Using
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DOI Link
2403
BibRef
McMillan, C.[Carl],
Zhao, J.[Junhong],
Xue, B.[Bing],
Vennell, R.[Ross],
Zhang, M.J.[Meng-Jie],
Improving Buoy Detection with Deep Transfer Learning for Mussel Farm
Automation,
IVCNZ23(1-6)
IEEE DOI
2403
Deep learning, YOLO, Training, Adaptation models, Transfer learning,
Lighting, Data models, object detection, deep learning,
aquaculture
BibRef
Zhao, J.[Junhong],
McMillan, C.[Carl],
Xue, B.[Bing],
Vennell, R.[Ross],
Zhang, M.J.[Meng-Jie],
Buoy Detection under Extreme Low-light Illumination for Intelligent
Mussel Farming,
IVCNZ23(1-6)
IEEE DOI
2403
Deep learning, Limiting, Computational modeling, Lighting,
Inspection, Task analysis, Monitoring, Aquaculture, object detection,
intrinsic decomposition
BibRef
Zeng, D.[Dylon],
Bi, Y.[Ying],
Liu, I.[Ivy],
Xue, B.[Bing],
Vennell, R.[Ross],
Zhang, M.J.[Meng-Jie],
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Mussel Farm Images,
IVCNZ23(1-6)
IEEE DOI
2403
Image quality, Training, Industries, Image segmentation, Sensitivity,
Object detection, Production, Object Detection,
Waterline Detection
See also Object-Based Genetic Programming Approach for Cropland Field Extraction, An.
BibRef
Galloway, A.,
Taylor, G.W.,
Ramsay, A.,
Moussa, M.,
The Ciona17 Dataset for Semantic Segmentation of Invasive Species in
a Marine Aquaculture Environment,
CRV17(361-366)
IEEE DOI
1804
aquaculture, feedforward neural nets,
image annotation, image segmentation, Ciona17 dataset,
semantic segmentation
BibRef
Loberternos, R.A.,
Porpetcho, W.P.,
Graciosa, J.C.A.,
Violanda, R.R.,
Diola, A.G.,
Dy, D.T.,
Otadoy, R.E.S.,
An Object-based Workflow Developed To Extract Aquaculture Ponds From
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ISPRS16(B8: 1147-1152).
DOI Link
1610
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Carbajal Hernández, J.J.[José Juan],
Sánchez Fernández, L.P.[Luis Pastor],
Moreno Ibarra, M.A.[Marco Antonio],
Assessment of the Artificial Habitat in Shrimp Aquaculture Using
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ICISP10(113-121).
Springer DOI
1006
BibRef
Carbajal Hernández, J.J.[José Juan],
Sanchez Fernandez, L.P.[Luis Pastor],
Oropeza Rodríguez, J.L.[José Luis],
Felipe Riverón, E.M.[Edgardo Manuel],
Signal Analysis for Assessment and Prediction of the Artificial Habitat
in Shrimp Aquaculture,
CIARP09(353-360).
Springer DOI
0911
BibRef
Chapter on Remote Sensing General Issue, Land Use, Land Cover continues in
Land Cover Change Analysis, Remote Sensing Change Analysis, Temporal Analysis .