Evaluation of Semi-Automated Image Processing Techniques for the Identification and Delineation of Coastal Edge using IRS, LISS-III Image - A Case Study on Sagar Island, East Coast of India
G. Murali Krishna
Department of Geo-Engineering, College of Engineering,Andhra University
D. Mitra
Indian Institute of Remote Sensing (IIRS)
A. K. Mishra
Indian Institute of Remote Sensing (IIRS)
Sh. Oyuntuya
Mongolian State University of Agriculture (MSUA), Ulaanbatar, Mongolia
K. Nageswra Rao
Department of Geo-Engineering, College of Engineering,Andhra University
要旨
To determine the most reliable technique for identification of coastal edge in the IRS-IC LISS-III satellite imagery, various semi-automated methods were tested. To define which pixels fall into land and water classes, methods like Level Slicing, PCA, NDVI, WI and ISODATA classification were tested. Due to the strong contrast between land and water in its SWIR band (1550-1700 nm), IRS-IC LISS-III imageries are well suited for generating the Sagar Island coastal edge, which is taken as a case study. After the classification of land and water pixels in the image, the raster boundary between land and water was identified and the shoreline was delineated. A shoreline vector was derived along the land/water raster boundary by raster contouring. The results were evaluated by comparing them with visually interpreted data of high-resolution PAN imagery acquired on the same day and time and GPS survey.
