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http://dx.doi.org/10.3745/KIPSTB.2007.14-B.2.065

A Study on the Detection and Statistical Feature Analysis of Red Tide Area in South Coast Using Remote Sensing  

Sur, Hyung-Soo (전남대학교 컴퓨터공학과)
Lee, Chil-Woo (전남대학교 컴퓨터공학과)
Publication Information
The KIPS Transactions:PartB / v.14B, no.2, 2007 , pp. 65-70 More about this Journal
Abstract
Red tide is becoming hot issue of environmental problem worldwide since the 1990. Advanced nations, are progressing study that detect red tide area on early time using satellite for sea. But, our country most seashores bends serious. Also because there are a lot of turbid method streams on coast, hard to detect small red tide area by satellite for sea that is low resolution. Also, method by sea color that use one feature of satellite image for sea of existent red tide area detection was most. In this way, have a few feature in image with sea color and it can cause false negative mistake that detect red tide area. Therefore, in this paper, acquired texture information to use GLCM(Gray Level Co occurrence Matrix)'s texture 6 information about high definition land satellite south Coast image. Removed needless component reducing dimension through principal component analysis from this information. And changed into 2 principal component accumulation images, Experiment result 2 principal component conversion accumulation image's eigenvalues were 94.6%. When component with red tide area that uses only sea color image and all principal component image. displayed more correct result. And divided as quantitative,, it compares with turbid stream and the sea that red tide does not exist using statistical feature analysis about texture.
Keywords
Remote Sensing; Texture; GLCM; PCA; Red Tide;
Citations & Related Records
Times Cited By KSCI : 1  (Citation Analysis)
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