Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Pattathal V., Arun"'
Autor:
Pattathal V, Arun, Karnieli, Arnon
Publikováno v:
In Expert Systems With Applications January 2022 187
Publikováno v:
In ISPRS Journal of Photogrammetry and Remote Sensing January 2022 183:307-320
Autor:
Jiajia Zhang, Huan Li, Dong Zhao, Pattathal V. Arun, Wei Tan, Pei Xiang, Huixin Zhou, Jianling Hu, Juan Du
Publikováno v:
Remote Sensing, Vol 15, Iss 11, p 2784 (2023)
Traditional image fusion techniques generally use symmetrical methods to extract features from different sources of images. However, these conventional approaches do not resolve the information domain discrepancy from multiple sources, resulting in t
Externí odkaz:
https://doaj.org/article/6ab7be2fdcb840099d07e59347947562
Autor:
Zhe Zhang, Bin Hu, Mengyuan Wang, Pattathal V. Arun, Dong Zhao, Xuguang Zhu, Jianling Hu, Huan Li, Huixin Zhou, Kun Qian
Publikováno v:
Remote Sensing, Vol 15, Iss 6, p 1579 (2023)
The advent of hyperspectral cameras has popularized the study of hyperspectral video trackers. Although hyperspectral images can better distinguish the targets compared to their RGB counterparts, the occlusion and rotation of the target affect the ef
Externí odkaz:
https://doaj.org/article/ea0385abd9424b8885733c03c32d92bb
Autor:
Dong Zhao, Jialu Cao, Xuguang Zhu, Zhe Zhang, Pattathal V. Arun, Yecai Guo, Kun Qian, Like Zhang, Huixin Zhou, Jianling Hu
Publikováno v:
Remote Sensing, Vol 14, Iss 24, p 6219 (2022)
To address the problem that the performance of hyperspectral target tracking will be degraded when facing background clutter, this paper proposes a novel hyperspectral target tracking algorithm based on the deep edge convolution feature (DECF) and an
Externí odkaz:
https://doaj.org/article/f3e3c7f49d564cf5b676d7b2e7647a35
Publikováno v:
Remote Sensing, Vol 14, Iss 23, p 5958 (2022)
Hyperspectral video target tracking is generally challenging when the scale of the target varies. In this paper, a novel algorithm is proposed to address the challenges prevalent in the existing hyperspectral video target tracking approaches. The pro
Externí odkaz:
https://doaj.org/article/64ba88028f444000a249f0e955a7c10f
Autor:
Pattathal V. Arun, Arnon Karnieli
Publikováno v:
Remote Sensing, Vol 13, Iss 13, p 2477 (2021)
Classification of crops using time-series vegetation index (VI) curves requires appropriate modeling of phenological events and their characteristics. The current study explores the use of capsules, a group of neurons having an activation vector, to
Externí odkaz:
https://doaj.org/article/6ac9f738a2c846658028fbb671ec958b
Autor:
Pattathal V. Arun, Arnon Karnieli
Publikováno v:
Neural Computing and Applications. 34:10929-10948
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3ff45824ca0ead66b7b554eb0e8036ca
https://doi.org/10.1007/s00521-022-07019-5
https://doi.org/10.1007/s00521-022-07019-5
Autor:
Dong Zhao, Xuguang Zhu, Zhe Zhang, Pattathal V. Arun, Jialu Cao, Qing Wang, Huixin Zhou, Hao Jiang, Jianling Hu, Kun Qian
Publikováno v:
Signal Processing. 209:109033
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::cb4e9d99417c8f25f4ba1adbf8da4c02
https://doi.org/10.1016/j.sigpro.2023.109033
https://doi.org/10.1016/j.sigpro.2023.109033