Land-use Classification Using Sar-images
نویسنده
چکیده
This paper studies the applicability of ERS-1 and JERS SAR-images to land-use classification. Different factors affecting classification accuracy like environmental conditions of study area, speckle filtering, spatial averaging, texture measures and different ways to use temporal images are discussed. Classification experiment employing three principal component images computed from median filtered ERS-1 images, median filtered JERS-1 image and texture image was made. The overall accuracy of training area was 61.1% and test area 67.2%. Classes agricultural field and water were classified well and urban area moderately. Forest classes were classified poorly and were mixed with each other and the swamp class.
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