Satellite image classification using KL-transformation and modified vector quantization

Abstract EN

In this work, satellite images classification for Al Chabaish marshes and the area surrounding district in (Dhi Qar) province for years 1990,2000 and 2015 using two software programming (MATLAB 7.11 and ERDAS imagine 2014) is presented.

Proposed supervised classification method (Modified Vector Quantization) using MATLAB software and supervised classification method (Maximum likelihood Classifier) using ERDAS imagine have been used, in order to get most accurate results and compare these methods.

The changes that taken place in year 2000 comparing with 1990 and in year 2015 comparing with 2000 are calculated.

The results from classification indicated that water and vegetation are decreased, while barren land, alluvial soil and shallow water are increased for year 2000 comparing with 1990.

Water, vegetation and barren land are increased, while alluvial soil and shallow water decreased for years 2015 comparing with 2000.

The classification accuracy for the proposed method (MVQ) is 90.1%, 90.9% and 90.2% for years 1990, 2000 and 2015, respectively.