Výsledky vyhledávání - "Shefali Agrawal"

Akademický článek

CNN TRANSFER LEARNING FOR DETECTION, COUNTING AND SEGMENTATION OF COCONUT PALMS FROM SATELLITE IMAGES

Autor: Niranjan D Gholba, Shefali Agrawal, Arun Babu

Publikováno v: ICTACT Journal on Image and Video Processing, Vol 11, Iss 4, Pp 2475-2482 (2021)

Several Free and Open Source (FOSS) tools use Neural Networks for detection of objects from images and videos captured from hand-held imaging devices. Satellite based Remote Sensing images offer wide area coverage and hold potential for detecting, co

Externí odkaz: https://doaj.org/article/561613b43cec4001b0cdc93fdb4bbe37

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Dielectric characterization and polarimetric analysis of lunar north polar crater Hermite-A using Chandrayaan-1 Mini-SAR, Lunar Reconnaissance Orbiter (LRO) Mini-RF, and Chandrayaan-2 DFSAR data

Autor: Awinash Singh, Aanchal Sharma, Shashi Kumar, Ling Chang, Ankita Vashishtha, Rahul Raj, Shefali Agrawal, Prakash Chauhan

Publikováno v: Advances in space research, 70(12), 4030-4055. Elsevier

Studies of the lunar surface from Synthetic Aperture Radar (SAR) data have played a prominent role in the exploration of the lunar surface in recent times. This study uses data from SAR sensors from three Moon missions: Chandrayaan-1 Mini-SAR, Lunar

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7e500cecbb9da2eb9787aa1039297bfc
https://doi.org/10.1016/j.asr.2022.04.059

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framework to Georeference Point Cloud in GPS Shadowed Urban Environment by Integrating Computer Vision Algorithms and Photogrammetric Techniques

Autor: Mayank Sharma, Raghavendra Sara, Shefali Agrawal

Publikováno v: Journal of Geomatics. 16:146-151

The integration of computer vision algorithms and photogrammetric techniques has become an alternative to the high-cost Mobile Mapping Systems (MMS) and point cloud generation through Structure from Motion (SfM) algorithm is the best example of it. T

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::00e35bae520987b5ffa07ad523434a0f
https://doi.org/10.58825/jog.2022.16.2.37

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Design and Development of Open Source Software Solution for Hyperspectral Data Simulation: Hydas

Autor: Varun Tiwari, Vinay Kumar, Kamal Pandey, Shivesh Anand, Rigved Ranade, Mohit Singh, Shefali Agrawal

Multispectral remote sensing data is available with broad spectral bands in the wavelength range of Visible-NIR-SWIR, and finds its applications in assessment of Land Use Land Cover classes (LULC). There are plenty of onboard sensors which are provid

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::d338dfa9c82c6cb812fd14e09bf53cfa
https://doi.org/10.21203/rs.3.rs-2316782/v1

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