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REMOTE SENSING FOR LAND & RESOURCES    2012, Vol. 24 Issue (3) : 1-5     DOI: 10.6046/gtzyyg.2012.03.01
Review |
Progress in the Methods for Extracting Aquaculture Areas from Remote Sensing Data
CHENG Tian-fei1,2, ZHOU Wei-feng1, FAN Wei1
1. Key and Open Laboratory of Fisheries Resources Remote Sensing and Information Technology, East China Sea Fisheries Research Institute, Chinese Academy of Fishery Sciences, Shanghai 200090, China;
2. College of Marine Sciences, Shanghai Ocean University, Shanghai 201306, China
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Abstract  Based on an analysis of remote sensing data sources, the authors classify the methods into five categories, i.e., visual interpretation, ratio of index analysis, correspondence analysis, spatial structure analysis, and object-oriented information extraction, and summarize their characteristics and application fields. The research direction and development trends are also predicted, which include such application fields as hyper-spectral remote sensing data, artificial intelligence, expert systems and non-linear theory.
Keywords fault      alteration anomaly      image enhancement      prediction of mineral prospecting      Laos     
:  TP751  
Issue Date: 20 August 2012
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LIU Wen-lan
ZHANG Wei
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LIU Wen-lan,ZHANG Wei. Progress in the Methods for Extracting Aquaculture Areas from Remote Sensing Data[J]. REMOTE SENSING FOR LAND & RESOURCES, 2012, 24(3): 1-5.
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https://www.gtzyyg.com/EN/10.6046/gtzyyg.2012.03.01     OR     https://www.gtzyyg.com/EN/Y2012/V24/I3/1
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