Hyperspectral data contain a large volume of information. This abundance of data is hard to exploit due to high computational cost involved in processing this data. Dimensionality reduction deals with transforming high dimensional data in to lower dimensional space without losing significance of the High dimensional data. In this paper, a new methodology has been proposed that is based on exist...

Impervious surfaces (IS) such as asphalt, concrete and rooftops prevent percolation of water into the soil, creating water quantity and water quality impacts that have been extensively documented in the literature. Impervious surfaces can therefore be considered a direct indicator as to the quality of surrounding surface water including streams, lakes, and estuaries. Simply put, as the amount o...

This paper presents classification of various land cover types from the raw satellite image using supervised classifiers and performances of the classifiers are analyzed. Geo coded and Geo-referenced remote sensed images from Survey of India, Government of India Topographical maps are used. Prior to classification, Training process to assemble a set of statistics describing spectral response pa...

The present study addresses the attempt made to explore the temporal (5-day revisit) and spatial resolution (56m) potential of AWiFS sensor aboard IRS-P6 to generate the land use land cover information using decision tree classification technique using See 5 data mining algorithm. The results obtained after two annual cycles and issues related to digital classification of temporal satellite dat...

In the paper is described the process of creating digital terrain models (DTM) using different interpolation methods. The analyses show the accuracy of the DTM obtained from topographic maps at different scales and using different interpolation methods. The quality and accuracy of DTM depends on the complexity of the terrain, data sources, and methods of height interpolation. The basic idea is ...

Pan-sharpening algorithms are data-and computation-intensive, and the processing performance can be poor if common serial processing techniques are adopted. This paper presents a parallel computing paradigm for pan-sharpening algorithms based on a generalized fusion model and parallel computing techniques. The developed modules, including eight typical pan-sharpening algorithms, show that the f...

There are numerous methods to classification of feature types. Imagine provides classification models in addition to texture features and convolution methods that assist in detecting various feature types. Using ESRI's ArcView and ArcGIS Feature Analyst extension, the process of feature extraction is readily accessible and user-friendly to the analyst. But, in general, road detection, specifica...

The satellite images at different spectral and spatial resolutions with the aid of image processing techniques can improve the quality of information. Especially image fusion is very helpful to extract the spatial information from two images of different resolution images of same area. An operation of image analysis such as image classification on fused images provides better results in compari...

This paper aims to present terrain characteristics of Kuya river basin specially relief zoning, aspect analysis, hill shade view, its relation with drainage conditions etc. Analysis of SRTM data in ERDAS Imagine and Arc GIS software reveals that there is no siginificant relief difference between upper and lower catchment of the basin but distinction between upper and lower catchments is very cl...

A method for automatic building extraction from high resolution satellite image is given. First, the image is segmented by using the split and merge segmentation. Then the segmented image is filtered by applying different filters. After filtering the output raster image is converted into vector image and then the buildings are extracted on the basis of area from the vector image. Finally, the c...