Zobrazeno 1 - 10
of 4 521
pro vyhledávání: '"Hyperspectral imagery"'
Autor:
Baozhi Cheng, Yan Gao
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-18 (2024)
Abstract Anomaly detection (AD) has emerged as a prominent area of research in hyperspectral imagery (HSI) processing. Traditional algorithms, such as low-rank and sparse matrix decomposition (LRaSMD), often struggle to effectively address challenges
Externí odkaz:
https://doaj.org/article/9825ac44c2ce4ef4a75bac03140fb2dd
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-18 (2024)
Abstract Leveraging diverse optomechanical and imaging technologies for precision agriculture applications is gaining attention in emerging economies. The precise spatial detection of plant objects in farms is crucial for optimizing plant-level nutri
Externí odkaz:
https://doaj.org/article/7025e9fc9a3342388d6a266bd9084d58
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 18, Pp 699-711 (2025)
Hyperspectral imaging for satellites is currently an important tool for global monitoring of methane point sources, and it can be used to retrieve methane concentration to enable source location and “top-down” emission estimation. The matched fil
Externí odkaz:
https://doaj.org/article/d71f94c2defa43ef890a3026457cd95a
Autor:
Jon Alvarez Justo, Alexandru Ghita, Daniel Kovac, Joseph L. Garrett, Mariana-Iuliana Georgescu, Jesus Gonzalez-Llorente, Radu Tudor Ionescu, Tor Arne Johansen
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 18, Pp 273-293 (2025)
Satellites are increasingly adopting onboard AI to optimize operations and increase autonomy through in-orbit inference. The use of deep learning (DL) models for segmentation in hyperspectral imagery offers advantages for remote sensing applications.
Externí odkaz:
https://doaj.org/article/b1f6cd9c86684853b8c3c1f8fb795283
Publikováno v:
GIScience & Remote Sensing, Vol 61, Iss 1 (2024)
ABSTRACTThe term “invasive noxious weed species” (INWS), which refers to noxious weed plants that invade native alpine grasslands, has increasingly become an ecological and economic threat in the alpine grassland ecosystem of the Qinghai-Tibetan
Externí odkaz:
https://doaj.org/article/a29de239e7174d4bbb8e8bc0821e25db
Autor:
Geng Wang, Nuermaimaitijiang Aierken, Guoqi Chai, Xuanhao Yan, Long Chen, Xiang Jia, Jiahao Wang, Wenyuan Huang, Xiaoli Zhang
Publikováno v:
International Journal of Applied Earth Observations and Geoinformation, Vol 134, Iss , Pp 104177- (2024)
Pine Wilt Disease (PWD) is a forest infectious disease that inflicts substantial economic losses to China’s forestry. Its rapid spread and the significant challenges associated with its control make early detection of infected trees crucial for dis
Externí odkaz:
https://doaj.org/article/c678fc6fc67e465bb4a1fc4efd186651
Publikováno v:
Frontiers in Marine Science, Vol 11 (2024)
Timely and accurate monitoring of typical coastal targets using remote sensing technology is crucial for maintaining marine ecological stability. Hyperspectral target detection technology proves to be an effective tool in extracting various typical m
Externí odkaz:
https://doaj.org/article/1d81af17eda2439cb75c99ee41ddb55d
Autor:
Paria Darvishi, Danya Karimi
Publikováno v:
Egyptian Journal of Remote Sensing and Space Sciences, Vol 27, Iss 2, Pp 298-316 (2024)
An investigation was conducted on the Khorramrood River in Iran to evaluate pollution levels resulting from human activities. Water samples were collected from eleven stations and analyzed for four parameters: pH, temperature, dissolved oxygen (DO),
Externí odkaz:
https://doaj.org/article/78b5d4b94a3e4f02ba3922f612e127af
Publikováno v:
Ecological Indicators, Vol 166, Iss , Pp 112365- (2024)
The aboveground biomass (AGB) of wetland vegetation is a crucial indicator for assessing the health of wetland ecosystems. In the context of global biodiversity threats, biodiversity has become a focal point in ecological and remote sensing research.
Externí odkaz:
https://doaj.org/article/ac9e2db01eab4ec9bb91eff86f7ce110
Publikováno v:
Heliyon, Vol 10, Iss 16, Pp e35792- (2024)
Dynamic ensemble selection has emerged as a promising approach for hyperspectral image classification. However, selecting relevant features and informative samples remains a pressing challenge. To address this issue, we introduce two novel dynamic re
Externí odkaz:
https://doaj.org/article/3afe0eb21da34d89a91514486f85e479