Shah, Kartik; Santoki, Shantanu; Ghetia, Himanshu; Aju, D. (2015). Classification of Remote Sensing Image Based on Different Similarity Measures. ARTIFICIAL INTELLIGENCE AND EVOLUTIONARY ALGORITHMS IN ENGINEERING SYSTEMS, VOL 1, 324, 609-619.

Abstract
Advanced wide field sensor (AWiFS) is a multi-spectral camera used to capture image from IRS-P6 (Indian remote sensing) satellite. Iterative self-organizing data analysis technique (ISODATA) is one of the most frequently used unsupervised classification algorithms. There are too many techniques available for classifying an image. In this paper, we will use similarity-based techniques to classify an image. Then, we will compare the result of each similarity measure classification techniques. We will use normalized difference vegetation index (NDVI) values to classify the images.

DOI:
10.1007/978-81-322-2126-5_66

ISSN:
2194-5357