The Influence of CLBP Window Size on Urban Vegetation Type Classification Using High Spatial Resolution Satellite Images

Classification of Ultra-high Resolution Images using Soft Computing

The main objective of this paper is to use a computational intelligence algorithm for preparing a mapping map that categorizes different patterns of identification of infected areas and changes in radiation pollution. In this paper, the use of the fuzzy inference system has been proposed to determine the degree of radiation contamination in the regions. The study uses ultra-high resolution spec...

Detection of coral bleaching using high spatial resolution satellite images

Recent dramatic bleaching events on coral reefs have enhanced the need for global environmental monitoring. This paper investigates the value of present high spatial resolution satellites to detect coral bleaching using a change detection technique. We compared an IRS LISS-III image taken during the 1998 bleaching event in Belize to images taken before the bleaching event. The sensitivity of th...

Urban Land Cover and Land Use Classification Using High Spatial Resolution Images and Spatial Metrics

In this paper, the author evaluates the results of applying two evolving classification techniques, decision trees (DT) and artificial neural networks’ back-propagation (ANN-BP), to obtain land cover and land use classes from Quickbird XS data combined with spatial metrics, in a selected urban zone in Bogota, Colombia. In order to improve the quality of the land cover classification, additional...

Multi Resolution Fuzzy Segmentation of Satellite Images

Detection of Urban Features From High Resolution Satellite Images

One common approach to detect urban features from high resolution images is, using automatic classification methods. The purpose of this paper is to demonstrate the applicability of the developed algorithm (DA) by systematically evaluating its performances in comparison to other popular classifier, support vector machine (SVM). The detection performance of algorithms is evaluated by an object-b...