Using Low-rank Representation of Abundance Maps and Nonnegative Tensor
Factorization for Hyperspectral Nonlinear Unmixing

Using Low-rank Representation of Abundance Maps and Nonnegative Tensor Factorization for Hyperspectral Nonlinear Unmixing

30 March 2021

Bing Zhang

Jocelyn Chanussot

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Papers citing "Using Low-rank Representation of Abundance Maps and Nonnegative Tensor Factorization for Hyperspectral Nonlinear Unmixing"

6 / 6 papers shown

Title
Overcoming the Identity Mapping Problem in Self-Supervised Hyperspectral Anomaly Detection Yongchuan Cui J.N. Zhang Peng Liu W. Song Yi Zeng 54 0 0 05 Apr 2025
Deep Nonlinear Hyperspectral Unmixing Using Multi-task Learning Saeid Mehrdad Seyed AmirHossein Janani 36 0 0 05 Feb 2024
Wasserstein Nonnegative Tensor Factorization with Manifold Regularization Jianyu Wang Linruize Tang 24 0 0 03 Jan 2024
Bidirectional recurrent imputation and abundance estimation of LULC classes with MODIS multispectral time series and geo-topographic and climatic data José Rodríguez-Ortega Rohaifa Khaldi D. Alcaraz‐Segura Siham Tabik 62 2 0 11 Oct 2023
Image Processing and Machine Learning for Hyperspectral Unmixing: An Overview and the HySUPP Python Package Behnood Rasti Alexandre Zouaoui Julien Mairal Jocelyn Chanussot OCL 44 16 0 18 Aug 2023
Tensor Decompositions for Hyperspectral Data Processing in Remote Sensing: A Comprehensive Review Minghua Wang Danfeng Hong Zhu Han Jiaxin Li Jing Yao Lianru Gao Bing Zhang Jocelyn Chanussot 77 66 0 13 May 2022