Zobrazeno 1 - 10
of 13
pro vyhledávání: '"Debvrat Varshney"'
Autor:
Maryam Rahnemoonfar, Tashnim Chowdhury, Argho Sarkar, Debvrat Varshney, Masoud Yari, Robin Roberson Murphy
Publikováno v:
IEEE Access, Vol 9, Pp 89644-89654 (2021)
Visual scene understanding is the core task in making any crucial decision in any computer vision system. Although popular computer vision datasets like Cityscapes, MS-COCO, PASCAL provide good benchmarks for several tasks (e.g. image classification,
Externí odkaz:
https://doaj.org/article/de2388e23953411c95be84c370c38d76
Autor:
Masoud Yari, Oluwanisola Ibikunle, Debvrat Varshney, Tashnim Chowdhury, Argho Sarkar, John Paden, Jilu Li, Maryam Rahnemoonfar
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 14, Pp 12035-12047 (2021)
Monitoring properties of ice sheets in polar regions is one of the main challenges in glaciology. There is a large amount of heterogeneous radar data from the polar regions that have been gathered through expensive missions. However, retrieving meani
Externí odkaz:
https://doaj.org/article/5477ceb33a1246e6b83ff2d48f82b74d
Publikováno v:
Frontiers in Big Data, Vol 4 (2021)
The Arctic sea ice has retreated rapidly in the past few decades, which is believed to be driven by various dynamic and thermodynamic processes in the atmosphere. The newly open water resulted from sea ice decline in turn exerts large influence on th
Externí odkaz:
https://doaj.org/article/a3fdc26b53f34223b8d8672dcf28a1b2
Autor:
Debvrat Varshney, Maryam Rahnemoonfar, Masoud Yari, John Paden, Oluwanisola Ibikunle, Jilu Li
Publikováno v:
Remote Sensing, Vol 13, Iss 14, p 2707 (2021)
Climate change is extensively affecting ice sheets resulting in accelerating mass loss in recent decades. Assessment of this reduction and its causes is required to project future ice mass loss. Annual snow accumulation is an important component of t
Externí odkaz:
https://doaj.org/article/2ae1e73dfda2403d86b1730d1b0e0817
Publikováno v:
IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2e1453bf9c20f78cfed2e1938e62b461
https://doi.org/10.1109/igarss46834.2022.9884370
https://doi.org/10.1109/igarss46834.2022.9884370
Autor:
Masoud Yari, Argho Sarkar, Maryam Rahnemoonfar, Debvrat Varshney, Robin R. Murphy, Tashnim Chowdhury
Publikováno v:
IEEE Access, Vol 9, Pp 89644-89654 (2021)
Visual scene understanding is the core task in making any crucial decision in any computer vision system. Although popular computer vision datasets like Cityscapes, MS-COCO, PASCAL provide good benchmarks for several tasks (e.g. image classification,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f7497a680e9ec13fec2804e8bec58e72
https://doi.org/10.1109/access.2021.3090981
https://doi.org/10.1109/access.2021.3090981
Autor:
Li Jilu, Debvrat Varshney, John Paden, Maryam Rahnemoonfar, Masoud Yari, Argho Sarkar, Tashnim Chowdhury, Oluwanisola Ibikunle
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 14, Pp 12035-12047 (2021)
Monitoring properties of ice sheets in polar regions is one of the main challenges in glaciology. There is a large amount of heterogeneous radar data from the polar regions that have been gathered through expensive missions. However, retrieving meani
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::db3c9b759330824d0d965e5b0f8b5b92
https://doi.org/10.1109/jstars.2021.3126547
https://doi.org/10.1109/jstars.2021.3126547
Publikováno v:
IGARSS
Ice thickness estimation is an important aspect of ice sheet studies. In this work, we use convolutional neural networks with multiple output nodes to regress and learn the thickness of internal ice layers in Snow Radar images collected in northwest
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::35d4c7840b47ea83badd612959fb3149
http://arxiv.org/abs/2104.04654
http://arxiv.org/abs/2104.04654
Publikováno v:
IEEE BigData
Global warming is rapidly reducing glaciers and ice sheets across the world. Real time assessment of this reduction is required so as to monitor its global climatic impact. In this paper, we introduce a novel way of estimating the thickness of each i
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::687e77282bb72fa9622893eb70e1088e
https://doi.org/10.1109/bigdata50022.2020.9378070
https://doi.org/10.1109/bigdata50022.2020.9378070