A Probabilistic Weighted Archetypal Analysis Method with Earth Mover’s Distance for Endmember Extraction from Hyperspectral Imagery
Author:
Funder
National Natural Science Foundation of China
Publisher
MDPI AG
Subject
General Earth and Planetary Sciences
Link
http://www.mdpi.com/2072-4292/9/8/841/pdf
Reference55 articles.
1. Hyperspectral Remote Sensing Data Analysis and Future Challenges
2. Spectral-Spatial Classification of Hyperspectral Image Based on Kernel Extreme Learning Machine
3. A Signal Processing Perspective on Hyperspectral Unmixing: Insights from Remote Sensing
4. Hyperspectral Unmixing with Robust Collaborative Sparse Regression
5. Synergistic Use of LiDAR and APEX Hyperspectral Data for High-Resolution Urban Land Cover Mapping
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1. Archetypal Curves in the Shape and Size Space: Discovering the Salient Features of Curved Big Data by Representative Extremes;La Matematica;2023-09-08
2. Hierarchical Sparse Nonnegative Matrix Factorization for Hyperspectral Unmixing with Spectral Variability;Remote Sensing;2020-07-20
3. A data-driven classification of 3D foot types by archetypal shapes based on landmarks;PLOS ONE;2020-01-30
4. An Optimization Method for Hyperspectral Endmember Extraction Based on K-SVD;Photogrammetric Engineering & Remote Sensing;2019-12-01
5. ARCHETYPAL ANALYSIS: AN ALTERNATIVE TO CLUSTERING FOR UNSUPERVISED TEXTURE SEGMENTATION;Image Analysis & Stereology;2019-07-18
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