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In present paper an attempt has been made for unsupervised classification of SAR images based on the surface roughness using multifractal technique. Surface roughness is measured with the help of fractal dimension (D), which lies in the range 2.0 and 3.0. Based on roughness values, i.e., D, various land classes are grouped in different classes. The D values are estimated for a number of local window...
Present paper aims to critically analyze and study the SAR interferometric RADARSAT-1 data for land subsidence monitoring system for New Orleans USA, using Differential SAR Interferometry (D-InSAR) approach. In Louisiana, areas along the coast are sinking as much as one inch a year, and New Orleans is among the worst affected area due to land subsidence. For mapping subsidence, 84 complex data sets...
In this paper, harmonic analysis of 10-year time series (1995-2005) NOAA/AVHRR yearly composite images is performed to develop an innovative technique for hotspot detection and land-features classification based on temporal changes in the NDVI and various AVHRR band values. NOAA/AVHRR images are used due to wide coverage, high frequency and free acquisition offered by NOAA/AVHRR sensors. Proposed...
The potentiality of synthetic aperture radar (SAR) images for land cover mapping is an important area of research. For single band, single polarized SAR images, information is available in the form of intensity and texture only. Land cover classification of SAR images requires exploitation of spatial relationship of pixels also, in addition to pixel level segmentation. SAR images can be segmented...
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