Ashoka Vanjare

ABSTRACT This paper discusses an approach for river mapping and flood evaluation to aid multi-temporal time series analysis of satellite images utilizing pixel spectral information for image classification and region-based segmentation to extract water covered region. Analysis of Moderate Resolution Imaging Spectroradiometer (MODIS) satellite images is applied in two stages: before flood and during flood. For these images the extraction of water region utilizes spectral information for image classification and spatial information for image segmentation. Multi-temporal MODIS images from “normal” (non-flood) and flood time-periods are processed in two steps. In the first step, image classifiers such as artificial neural networks and gene expression programming to separate the image pixels into water and non-water groups based on their spectral features. The classified image is then segmented using spatial features of the water pixels to remove the misclassified water region. From the results obtained, we evaluate the performance of the method and conclude that the use of image classification and region-based segmentation is an accurate and reliable for the extraction of water-covered region.

ABSTRACT: In this paper, we are examines polarimetric decomposition techniques like on Pauli decomposition and Sphere Di-Plane Helix (SDH) decomposition of RISAT-1 satellite image for land use and land cover mapping. The data processing methods adopted are 1) Pre-processing, antenna pattern correction, sigma nought calibration, Speckle Reduction, 2) Polarimetric Decomposition and 3) Polarimetric Classification. We have used RISAT-1 satellite image datasets of Mysore-Mandya region of Karnataka, India for classifying five classes- agricultural lands, urban area, forest land, water land and barren land. Polarimetric SAR data possess a high potential because it captures earth land surface features. After applying the polarimetric classification techniques, post-classification techniques is applied in order to access the classification accuracy. The Post-classification step gives the over-all accuracy was observed to be higher in the SDH decomposed image, as it operates on individual pix...

ABSTARCT: In this work, gray-level co-occurrence matrices (GLCM) have been used to quantitatively evaluate statistical textural parameters for a SAR image and to generate a filtered image to feed to ANNs for classification for land cover. Prior to performing the textural analysis, an adaptive filter was applied to reduce the effect of radar-system-generated coherent speckle to produces an image approximating local tone while preserving edge definition. A feature set was than chosen that best classifies the SAR image into the aimed classes. The features are selected based on their discrimination ability and classification accuracy. And at last, the three ANNs used were compared using the image formed by the chosen features in combination.

Cholecystokinin decreases food intake in animals and in man. This study investigated whether the structurally related ceruletide reduces food intake in healthy non-obese man. Twelve females and 12 males participated, after an over-night fast, in each of two experiments. During the basal 40 min, saline was infused IV. Thereafter, the infusion was, in random double blind fashion, either continued with saline or switched to 60 or 120 ng/kg b. wt/hr ceruletide. Butter was melted in a pan and scrambled eggs with ham were prepared in front of the subjects, who were instructed to eat, together with bread and mallow tea, as much as they wanted. With 120 ng/kg/hr ceruletide, the subjects ate significantly less (16.8 percent) than with saline (3725 kJ +/- 489 SEM and 4340 kJ +/- 536, respectively; p less than 0.025). They also reported less hunger (p less than 0.005) and activation (p less than 0.005) and activation (p less than 0.01), and had longer reaction times (p less than 0.01) and a weaker psychomotor performance (p less than 0.025). 60 ng/kg/hr ceruletide decreased food intake only slightly (6.6%; 3089 kJ +/- 253 and 3292 kJ +/- 300 respectively) and no significant changes in the above measures occurred. In conclusion, ceruletide reduces food intake in man, thus resembling the effects of cholecystokinin.

Earth is covered with three fourth of water and one fourth of land. Ninety percent of world cargo transportation happens via ships that sail across great waters. Increase in sea traffic at the ports, natural disasters, technical, human errors may lead to oil spilling on oceanic surface. These spills will cause a lot of damage to marine ecosystem. Estimating the damage is one of the challenging tasks that can be addressed using remote sensing technology. In this paper, detection and differentiating look-alike image features of four different oceanic regions are studied using gene expression programming (GEP) algorithms on RISAT-1 SAR satellite images. GEP algorithm clearly differentiates lookalike image feature pixel from oil spill image feature pixel with classification accuracy on four different oil spill datasets is more than 98%. Proving GEP can be used for two class oil spill detection and classification problem.