S
Sanjay Ghosh
Researcher at Indian Institute of Technology Roorkee
Publications - 209
Citations - 3999
Sanjay Ghosh is an academic researcher from Indian Institute of Technology Roorkee. The author has contributed to research in topics: Bilateral filter & Normalized Difference Vegetation Index. The author has an hindex of 30, co-authored 196 publications receiving 3079 citations. Previous affiliations of Sanjay Ghosh include Indian Institutes of Technology & University of Cambridge.
Papers
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Journal ArticleDOI
Effect of autocorrelation on temporal trends in rainfall in a valley region at the foothills of Indian Himalayas
Atul Kant Piyoosh,Sanjay Ghosh +1 more
TL;DR: In this article, the effect of autocorrelation on step and monotonic trends in seasonal and annual rainfall in Dehradun has been examined using modified Pettitt test and modified Mann-Kendall test.
Proceedings ArticleDOI
Fast Bright-Pass Bilateral Filtering for Low-Light Enhancement
Sanjay Ghosh,Kunal N. Chaudhury +1 more
TL;DR: A Fourier approximation of BPBF that can accelerate the filtering (by an order) without loss in visual quality is proposed and is competitive with recent algorithms in terms of visual perception and quality metrics.
Journal ArticleDOI
Assessment and prediction of urban growth for a mega-city using CA-Markov model
Veerendra Yadav,Sanjay Ghosh +1 more
TL;DR: Most of World's mega-cities are facing high population growth as discussed by the authors and to accommodate the increased population, new built-up areas are emerging at the periphery or fringe area of cities.
Journal ArticleDOI
Physically-based distributed soil erosion and sediment yield model (DREAM) for simulating individual storm events
TL;DR: In this article, a relatively simple process-oriented, physically-based distributed hydrological model, the distributed runoff and erosion assessment model (DREAM), is described, and a validation study conducted in the semi-forested watershed of Pathri Rao, in the Garhwal Himalayas, India, is reported.
Journal ArticleDOI
Seasonal-based analysis of vegetation response to environmental variables in the mountainous forests of Western Himalaya using Landsat 8 data
TL;DR: In this paper, a new index called the temporal normalized phenology index (TNPI) was proposed to quantify the change in trajectories of Landsat 8 OLI-derived normalized difference vegetation index (NDVI) during two time steps of the vegetation growth cycle to establish the associations amongst a set of environmental factors and vegetation greenness during different seasons.