Image classification is a complex process that may be affected by many factors. This paper
examines current practices, problems, and prospects of image classification. The emphasis …

Segmentation and object-oriented processing of single-season and multi-season Landsat-7
Enhanced Thematic Mapper Plus (ETM+) data was utilized for the classification of wetlands …

The tolerant rough set classifier (TRSC) was introduced for land cover classification. TRSC
uses a tolerance relation to define the tolerant rough set of each object to be classified, and …

We present the assessment of two classification procedures using both a Monte Carlo
experiment and real data. Classification performance is hard to assess with generality due to …

The purpose of this paper is to investigate the applicability of Bayesian Multi‐net Classifier
(BMC) to classify remote sensing data. BMC is based on Bayesian Network (BN), which is a …

Özet Gelişen dünyada hızlı nüfus artışı, doğal ve yapay etkenler sebebiyle yeryüzü çeşitli
çevresel etkiler altında kalmış ve zarar görmeye başlamıştır. Doğaya olan tahribatı en aza …

Abstract The fragile Sudano-Sahelian ecological zone of Nigeria has been classified as a
hotspot of land cover change (LCC) that has been suffering from serious anthropogenic and …

IRS-LISS-III satellite imagery covering Nongkhyllem Wildlife Sanctuary area located within
the Ri-Bhoi District of Meghalaya State, northeast India, was used for analysis of the …

Radar and Landsat data were used to classify land cover in north central Ethiopia. Both
images were registered and resampled to 12.5 m spatial resolution. Maximum Likelihood …

This study has presented a new classifier-the Partial Least Squares (PLS) classifier
including linear and nonlinear based on the Partial Least-Squares Regression theory, then …