Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Rakesh John Amala Arokia Nathan"'
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-12 (2024)
Abstract Both humans and computational methods struggle to discriminate the depths of objects hidden beneath foliage. However, such discrimination becomes feasible when we combine computational optical synthetic aperture sensing with the human abilit
Externí odkaz:
https://doaj.org/article/b2f26ddb6f794f1cbd0ccae8182262d6
Publikováno v:
Remote Sensing, Vol 15, Iss 18, p 4369 (2023)
The presence of foliage is a serious problem for target detection with drones in application fields such as search and rescue, surveillance, early wildfire detection, or wildlife observation. Visual as well as automatic computational methods, such as
Externí odkaz:
https://doaj.org/article/9aac222f47264ea8b78c406200d33d5e
Publikováno v:
Journal of Remote Sensing, Vol 2022 (2022)
Detecting and tracking moving targets through foliage is difficult, and for many cases even impossible in regular aerial images and videos. We present an initial light-weight and drone-operated 1D camera array that supports parallel synthetic apertur
Externí odkaz:
https://doaj.org/article/c692c93d2f91474999ee7d7786c02256
Publikováno v:
Drones, Vol 6, Iss 9, p 231 (2022)
We present Inverse Airborne Optical Sectioning (IAOS), an optical analogy to Inverse Synthetic Aperture Radar (ISAR). Moving targets, such as walking people, that are heavily occluded by vegetation can be made visible and tracked with a stationary op
Externí odkaz:
https://doaj.org/article/63fba7a343df4fe48a97756f116d8ef2
In this article, we present Inverse Airborne Optical Sectioning (IAOS) – an optical analogy to Inverse Synthetic Aperture Radar (ISAR). Moving targets, such as walking people, that are heavily occluded by vegetation can be made visible and tracked
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::db415ecd4d67bf8a7f59b625869c54a4
Detecting and tracking moving targets through foliage is difficult, and for many cases even impossible in regular aerial images and videos. We present an initial light-weight and drone-operated 1D camera array that supports parallel synthetic apertur
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4758cfbf070a8310927877476f3e952b
http://arxiv.org/abs/2111.06959
http://arxiv.org/abs/2111.06959