Hyung Soo Sur , Chil Woo Lee

The KIPS Transactions:PartB , Vol. 14, No. 2, pp. 65-70, Apr. 2007
10.3745/KIPSTB.2007.14.2.65,   PDF Download:

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 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 images 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 compared 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.

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