Zobrazeno 1 - 10
of 269
pro vyhledávání: '"Linear spectral mixture analysis"'
Publikováno v:
European Journal of Remote Sensing, Vol 55, Iss 1, Pp 37-51 (2022)
Linear spectral mixture analysis (LSMA) and regression analysis are the two most conventionally used methods to estimate impervious surfaces at the subpixel scale in an urban area. However, LSMA lacks the sensitivity to pixel brightness, which leads
Externí odkaz:
https://doaj.org/article/ebfc6ff7ecfa4710bb8dd9cdd480bcf6
Autor:
Kun Tan, Danfeng Sun, Wenjun Dou, Bin Wang, Qiangqiang Sun, Xiaojie Liu, Haiyan Zhang, Yang Lan, Fei Lun
Publikováno v:
Remote Sensing, Vol 15, Iss 20, p 5003 (2023)
The accurate mapping and analysis of coastal wetlands and their dynamics are crucial for local coastal wetland protection, sustainable social development, and biodiversity preservation. However, detailed mapping and comprehensive analysis of coastal
Externí odkaz:
https://doaj.org/article/806aba2299ac47ad9dc87b55a661b2e6
Publikováno v:
Frontiers in Environmental Science, Vol 10 (2023)
The Loess Plateau exemplifies the type of ecologically fragile region that faces severe poverty challenges in China. Orchards have expanded rapidly over the past few decades and now constitute a considerable part of local economy. Not only do the cha
Externí odkaz:
https://doaj.org/article/c2907aea345a459e9e973e92076a1dac
Akademický článek
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Autor:
Shanshan Feng, Fenglei Fan
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 14, Pp 1434-1446 (2021)
The widespread presence of mixed pixels in remotely sensed images is a pressing challenge for accurate target detection and classification. Linear spectral mixture analysis (LSMA) is commonly used to address this problem by deriving remotely sensed i
Externí odkaz:
https://doaj.org/article/aae6288accb64e738ade26b4956200ae
Autor:
Wenhui Wang, Yapeng Wu, Qiaofeng Zhang, Hengbiao Zheng, Xia Yao, Yan Zhu, Weixing Cao, Tao Cheng
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 14, Pp 6716-6728 (2021)
Accurate and timely monitoring of leaf nitrogen concentration (LNC) in rice is crucial to optimize nitrogen fertilizer management and reduce environmental pollution. Existing vegetation indices (VIs) often perform well for high canopy cover condition
Externí odkaz:
https://doaj.org/article/676a1e2b965e4b23b38bb41d9ec91af9
Publikováno v:
IEEE Access, Vol 8, Pp 128476-128489 (2020)
Accurate estimations of impervious surface areas are essential for urban planning development. Linear spectral mixture analysis (LSMA) is commonly adopted to extract the impervious surface (IS) fraction in a mixed pixel at the subpixel scale. However
Externí odkaz:
https://doaj.org/article/94668a1a333040ac83fd7ef2fc20ea47
Autor:
Linke Ouyang, Caiyan Wu, Junxiang Li, Yuhan Liu, Meng Wang, Ji Han, Conghe Song, Qian Yu, Dagmar Haase
Publikováno v:
Remote Sensing, Vol 14, Iss 7, p 1673 (2022)
The impervious surface area (ISA) is a key indicator of urbanization, which brings out serious adverse environmental and ecological consequences. The ISA is often estimated from remotely sensed data via spectral mixture analysis (SMA). However, accur
Externí odkaz:
https://doaj.org/article/c54705fd4dbd4db9a9d62eae81dd626c
Publikováno v:
Applied Sciences, Vol 11, Iss 21, p 10044 (2021)
Total imperviousness (residential and non-residential) increases with population growth in many regions around the world. Population density has been used to predict the total imperviousness in large areas, although population size was only closely r
Externí odkaz:
https://doaj.org/article/28d280df94bd483bb653edbca511ce53
Autor:
Nurlina Nurlina
Publikováno v:
Jurnal Fisika Flux, Vol 6, Iss 1, Pp 1-16 (2017)
Evaluated from remote sensing perspective, urban region is a real district heterogeneous, what gives reflectance from different some land cover type and material. The limitation of the spatial resolution from middle resolution sensor such as Landsat
Externí odkaz:
https://doaj.org/article/c826b32da29e45d7b8797b898bac4146