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3 results on '"Vidyarthi, Anurag"'

1. Transformation Caused in the Consistency of Landcover Due to Stubble Burning in the Northern India State of Punjab from Suomi NPP Satellite Data

Author

Shakya, Amit Kumar, Ramola, Ayushman, Johri, Ayushi, Vidyarthi, Anurag, Filipe, Joaquim, Editorial Board Member, Ghosh, Ashish, Editorial Board Member, Kotenko, Igor, Editorial Board Member, Prates, Raquel Oliveira, Editorial Board Member, Zhou, Lizhu, Editorial Board Member, Barbosa, Simone Diniz Junqueira, Founding Editor, Singh, Pradeep Kumar, editor, Sood, Sanjay, editor, Kumar, Yugal, editor, Paprzycki, Marcin, editor, Pljonkin, Anton, editor, and Hong, Wei-Chiang, editor

Published
2020
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2. Texture Redefined: A Second Order Statistical Based Approach for Brodatz Dataset Samples 1–35 (A)

Author

Shakya, Amit Kumar, Tiwari, Shalini, Vidyarthi, Anurag, Prakash, Rishi, Barbosa, Simone Diniz Junqueira, Editorial Board Member, Filipe, Joaquim, Editorial Board Member, Ghosh, Ashish, Editorial Board Member, Kotenko, Igor, Editorial Board Member, Zhou, Lizhu, Editorial Board Member, Prateek, Manish, editor, Sharma, Durgansh, editor, Tiwari, Rajeev, editor, Sharma, Rashmi, editor, Kumar, Kamal, editor, and Kumar, Neeraj, editor

Published
2019
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3. Statistical Quantification of Texture Visual Features for Pattern Recognition by Analyzing Pre- and Post-Multispectral Landsat Satellite Imagery.

Author

Shakya, Amit Kumar, Ramola, Ayushman, and Vidyarthi, Anurag

Subjects
LANDSAT satellites, REMOTE-sensing images, TEXTURES, LAND cover, VISUAL perception, DROUGHTS
Abstract

This paper investigates the performance of visual texture features based on the gray-level co-occurrence matrix to analyze multispectral remotely sensed Landsat images. Different case studies related to urbanization, flood, and drought are investigated in this research work. The changing land use/land cover pattern caused by urbanization, floods, and droughts is examined through quantitative assessment. Texture visual features, i.e., correlation, contrast, angular second moment or energy, and homogeneity, are derived from the gray-level co-occurrence matrix. These features are used to develop a pattern for the changing texture of land use/land cover. Human visual perception of smoothness and coarseness is related to the texture features and is later used to describe the texture features' changing behavior. The quantitative assessment of texture features in terms of smoothness and coarseness establishes a novel pattern between pre- and postimages of urbanization, flood, and drought. [ABSTRACT FROM AUTHOR]

Published
2021
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