Zobrazeno 1 - 10
of 226
pro vyhledávání: '"Abhijit Mahalanobis"'
Publikováno v:
Sensors, Vol 24, Iss 4, p 1218 (2024)
In this paper, we address the challenge of detecting small moving targets in dynamic environments characterized by the concurrent movement of both platform and sensor. In such cases, simple image-based frame registration and optical flow analysis can
Externí odkaz:
https://doaj.org/article/6753c5662b3048ceb5ff1bd363cbffbf
Autor:
Adam Cuellar, Abhijit Mahalanobis
Publikováno v:
IEEE Transactions on Aerospace and Electronic Systems. :1-19
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8cbd670634a1e024573c744609e3e8a7
https://doi.org/10.1109/taes.2022.3202881
https://doi.org/10.1109/taes.2022.3202881
Autor:
Maliha Arif, Abhijit Mahalanobis
Publikováno v:
IEEE Transactions on Aerospace and Electronic Systems. 57:4448-4456
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ecfdc19122f6193c8fee658fac6b269b
https://doi.org/10.1109/taes.2021.3090921
https://doi.org/10.1109/taes.2021.3090921
Autor:
Muhammad Tayyab, Abhijit Mahalanobis
Publikováno v:
2022 IEEE International Conference on Image Processing (ICIP).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1f201cd1e72333b060b93d1573f54876
https://doi.org/10.1109/icip46576.2022.9898023
https://doi.org/10.1109/icip46576.2022.9898023
Publikováno v:
2022 IEEE International Conference on Image Processing (ICIP).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7857cf0caaafaab13819aa14248f5c7b
https://doi.org/10.1109/icip46576.2022.9897418
https://doi.org/10.1109/icip46576.2022.9897418
Publikováno v:
Proceedings of Seventh International Congress on Information and Communication Technology ISBN: 9789811916069
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::65e97f54e8edc637df186a27f7138787
https://doi.org/10.1007/978-981-19-1607-6_39
https://doi.org/10.1007/978-981-19-1607-6_39
Publikováno v:
IEEE Transactions on Aerospace and Electronic Systems. 57:485-496
Infrared target detection is a challenging computer vision problem which involves detecting small targets in heavily cluttered conditions while maintaining a low false alarm rate. We propose a network that optimizes a “target to clutter ratio”(TC
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::851b2a209c26013b22eb72735633d12c
https://doi.org/10.1109/taes.2020.3024391
https://doi.org/10.1109/taes.2020.3024391
Publikováno v:
Automatic Target Recognition XXXII.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7ae4fde4de664839ff584152266b7b5a
https://doi.org/10.1117/12.2619044
https://doi.org/10.1117/12.2619044
Publikováno v:
Automatic Target Recognition XXXII.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f77b37f8788f151253421c058dcf382a
https://doi.org/10.1117/12.2622530
https://doi.org/10.1117/12.2622530
Publikováno v:
IEEE Transactions on Geoscience and Remote Sensing. 58:6776-6790
The low resolution of infrared (IR) images makes feature extraction for classification of a challenging work. Learning-based methods, therefore, are preferred to be used on such raw imagery. In this article, in order to avoid difficulties in feature
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::420c34c9c3bf0e29afd3c9b101673c64
https://doi.org/10.1109/tgrs.2020.2973969
https://doi.org/10.1109/tgrs.2020.2973969