Results 81 to 90 of about 3,939 (225)

Non-Negative Matrix Factorization Based on Smoothing and Sparse Constraints for Hyperspectral Unmixing. [PDF]

Sensors (Basel), 2022
Jia X, Guo B.
europepmc   +1 more source

Unmixing-Based PAN-Guided Fusion Network for Hyperspectral Imagery [PDF]

, 2022
Shuangliang Li, Yugang Tian, Hao Xia, Qingwei Liu   +3 more
openalex   +1 more source

Hyperspectral EELS image unmixing

, 2016
Electron Energy Loss Spectroscopy (EELS) performed in a Scanning Transmission Electron Microscope (STEM) provides hyperspectral images characterized by a large number of pixels and energy channels (typically 100 x 100 x 1000) [1].
Altmann, Yoann, Brun, Nathalie, Dobigeon, Nicolas, March, Katia, Moussaoui, Saïd, Schneegans, Olivier   +5 more
openaire   +2 more sources

Spectral-Spatial Hyperspectral Unmixing Using Multitask Learning

IEEE Access, 2019
Hyperspectral unmixing is an important and challenging task in the field of remote sensing which arises when the spatial resolution of sensors is insufficient for the separation of spectrally distinct materials.
Burkni Palsson, Johannes R. Sveinsson, Magnus O. Ulfarsson   +2 more
doaj   +1 more source

A Multibranch Convolutional Neural Network for Hyperspectral Unmixing [PDF]

, 2022
Łukasz Tulczyjew, Michał Kawulok, Nicolas Longépé, Bertrand Le Saux, Jakub Nalepa   +4 more
openalex   +1 more source

Sparsity Constrained Distributed Unmixing of Hyperspectral Data [PDF]

, 2019
Sara Khoshsokhan, Roozbeh Rajabi, Hadi Zayyani   +2 more
openalex   +1 more source

Hyperspectral and Multispectral Image Fusion with Automated Extraction of Image-Based Endmember Bundles and Sparsity-Based Unmixing to Deal with Spectral Variability [PDF]

, 2023
Salah Eddine Brezini, Yannick Deville
openalex   +1 more source

Partial Linear NMF-Based Unmixing Methods for Detection and Area Estimation of Photovoltaic Panels in Urban Hyperspectral Remote Sensing Data [PDF]

, 2019
Moussa Sofiane Karoui, Fatima Zohra Benhalouche, Yannick Deville, Khelifa Djerriri, Xavier Briottet, Thomas Houet, Arnaud Le Bris, Christiane Weber   +7 more
openalex   +1 more source

Transformer for Multitemporal Hyperspectral Image Unmixing

IEEE Transactions on Image Processing
Multitemporal hyperspectral image unmixing (MTHU) holds significant importance in monitoring and analyzing the dynamic changes of surface. However, compared to single-temporal unmixing, the multitemporal approach demands comprehensive consideration of information across different phases, rendering it a greater challenge.
Hang Li, Qiankun Dong, Xueshuo Xie, Xia Xu, Tao Li 0022, Zhenwei Shi 0001   +5 more
openaire   +3 more sources

Spatial Resolution Enhancement of Hyperspectral Images Using Spectral Unmixing and Bayesian Sparse Representation [PDF]

, 2017
Elham Kordi Ghasrodashti, Azam Karami, Rob Heylen, Paul Scheunders   +3 more
openalex   +1 more source