Proceedings of the KSRS Conference (대한원격탐사학회:학술대회논문집)
- 2008.10a
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- Pages.320-323
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- 2008
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- 1226-9743(pISSN)
AQUACULTURE FACILITIES DETECTION FROM SAR AND OPTIC IMAGES
- Yang, Chan-Su (Korea Ocean Satellite Center Ocean Satellite Remote Sensing & Observation Technology Research Department Korea Ocean Research & Development Institute) ;
- Yeom, Gi-Ho (Korea Ocean Satellite Center Ocean Satellite Remote Sensing & Observation Technology Research Department Korea Ocean Research & Development Institute) ;
- Cha, Young-Jin (Korea Ocean Satellite Center Ocean Satellite Remote Sensing & Observation Technology Research Department Korea Ocean Research & Development Institute) ;
- Park, Dong-Uk (Korea Ocean Satellite Center Ocean Satellite Remote Sensing & Observation Technology Research Department Korea Ocean Research & Development Institute)
- Published : 2008.10.29
Abstract
This study attempts to establish a system extracting and monitoring cultural grounds of seaweeds (lavers, brown seaweeds and seaweed fulvescens) and abalone on the basis of both KOMPSAT-2 and Terrasar-X data. The study areas are located in the northwest and southwest coast of South Korea, famous for coastal cultural grounds. The northwest site is in a high tidal range area (on the average, 6.1 min Asan Bay) and has laver cultural grounds for the most. An semi-automatic detection system of laver facilities is described and assessed for spacebome optic images. On the other hand, the southwest cost is most famous for seaweeds. Aquaculture facilities, which cover extensive portions of this area, can be subdivided into three major groups: brown seaweeds, capsosiphon fulvescens and abalone farms. The study is based on interpretation of optic and SAR satellite data and a detailed image analysis procedure is described here. On May 25 and June 2, 2008 the TerraSAR-X radar satellite took some images of the area. SAR data are unique for mapping those farms. In case of abalone farms, the backscatters from surrounding dykes allows for recognition and separation of abalone ponds from all other water-covered surfaces. But identification of seaweeds such as laver, brown seaweeds and seaweed fulvescens depends on the dampening effect due to the presence of the facilities and is a complex task because objects that resemble seaweeds frequently occur, particularly in low wind or tidal conditions. Lastly, fusion of SAR and optic spatial images is tested to enhance the detection of aquaculture facilities by using the panchromatic image with spatial resolution 1 meter and the corresponding multi-spectral, with spatial resolution 4 meters and 4 spectrum bands, from KOMPSAT-2. The mapping accuracy achieved for farms will be estimated and discussed after field verification of preliminary results.