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Endmember Estimation with Maximum Distance Analysis [PDF]
Endmember estimation plays a key role in hyperspectral image unmixing, often requiring an estimation of the number of endmembers and extracting endmembers.
Xuanwen Tao +2 more
exaly +4 more sources
An Improved Endmember Selection Method Based on Vector Length for MODIS Reflectance Channels
Endmember selection is the basis for sub-pixel land cover classifications using multiple endmember spectral mixture analysis (MESMA) that adopts variant endmember matrices for each pixel to mitigate errors caused by endmember variability in SMA.
Jiancheng Shi +2 more
exaly +3 more sources
Hyperspectral Endmember Extraction Using Spatially Weighted Simplex Strategy
Spatial information is increasingly becoming a vital factor in the field of hyperspectral endmember extraction, since it takes into consideration the spatial correlation of pixels, which generally involves jointing spectral information for preprocessing ...
Xiangfei Shen, Wenxing Bao
exaly +3 more sources
Extraction and Spatio-Temporal Analysis of Impervious Surfaces over Dongying Based on Landsat Data
It is necessary to understand the relationship between the impervious surface area (ISA) distribution, variation trends and potential driving forces over Dongying, Shandong Province.
Jiaqi Shen +4 more
doaj +1 more source
Due to the high temporal repetition rates, median/low spatial resolution remote sensing images are the main data source of change detection (CD). It is worth noting that they contain a large number of mixed pixels, which makes adequately capturing the ...
Ke Wu +4 more
doaj +1 more source
Indramayu Regency is the highest rice producer in West Java province, Indonesia. According to the Central Statistics Agency (BPS), in 2021, rice production in 2020 reached 1,365,435.39 tons of GKG (milled dry grain).
Iqbal Maulana Cipta +2 more
doaj +1 more source
A Sparse Topic Relaxion and Group Clustering Model for Hyperspectral Unmixing
Hyperspectral unmixing (HU) has been a hot research topic in the field of hyperspectral remote sensing. In recent years, the employment of the probabilistic topic model to acquire the latent topics of hyperspectral images has been an effective method for
Qiqi Zhu +4 more
doaj +1 more source
Agricultural cropping intensity plays an important role in evaluating the food security and the sustainable development of agriculture. The existing indicators measuring cropping intensity include cropping frequency and multiple cropping index.
Jianbin Tao +4 more
doaj +1 more source
Hazardous Noxious Substance Detection Based on Ground Experiment and Hyperspectral Remote Sensing
With an increase in the overseas maritime transport of hazardous and noxious substances (HNSs), HNS-related spill accidents are on the rise. Thus, there is a need to completely understand the physical and chemical properties of HNSs. This can be achieved
Jae-Jin Park +7 more
doaj +1 more source
Hong Kong and Shenzhen have entirely different land-use development policies, resulting in a disparity in the increase rate of impervious surface area. Impervious surface estimation is a significant method for evaluating urbanization, so that countries ...
Kapo Wong +4 more
doaj +1 more source

