119 related articles for article (PubMed ID: 37552588)
1. Entropic Descent Archetypal Analysis for Blind Hyperspectral Unmixing.
Zouaoui A; Muhawenayo G; Rasti B; Chanussot J; Mairal J
IEEE Trans Image Process; 2023; 32():4649-4663. PubMed ID: 37552588
[TBL] [Abstract][Full Text] [Related]
2. Hyperspectral Blind Unmixing Using a Double Deep Image Prior.
Zhou C; Rodrigues MRD
IEEE Trans Neural Netw Learn Syst; 2023 Aug; PP():. PubMed ID: 37603474
[TBL] [Abstract][Full Text] [Related]
3. Spectral Unmixing of Hyperspectral Remote Sensing Imagery via Preserving the Intrinsic Structure Invariant.
Shao Y; Lan J; Zhang Y; Zou J
Sensors (Basel); 2018 Oct; 18(10):. PubMed ID: 30340435
[TBL] [Abstract][Full Text] [Related]
4. Endmember-Guided Unmixing Network (EGU-Net): A General Deep Learning Framework for Self-Supervised Hyperspectral Unmixing.
Hong D; Gao L; Yao J; Yokoya N; Chanussot J; Heiden U; Zhang B
IEEE Trans Neural Netw Learn Syst; 2022 Nov; 33(11):6518-6531. PubMed ID: 34048352
[TBL] [Abstract][Full Text] [Related]
5. Spectral Variability Aware Blind Hyperspectral Image Unmixing Based on Convex Geometry.
Drumetz L; Chanussot J; Jutten C; Ma WK; Iwasaki A
IEEE Trans Image Process; 2020 Feb; ():. PubMed ID: 32092005
[TBL] [Abstract][Full Text] [Related]
6. Nonlinear Hyperspectral Unmixing With Robust Nonnegative Matrix Factorization.
Févotte C; Dobigeon N
IEEE Trans Image Process; 2015 Dec; 24(12):4810-9. PubMed ID: 26285151
[TBL] [Abstract][Full Text] [Related]
7. A spatial compositional model for linear unmixing and endmember uncertainty estimation.
Zhou Y; Rangarajan A; Gader PD
IEEE Trans Image Process; 2016 Dec; 25(12):5987-6002. PubMed ID: 28113399
[TBL] [Abstract][Full Text] [Related]
8. Blind Hyperspectral Unmixing Using an Extended Linear Mixing Model to Address Spectral Variability.
Drumetz L; Veganzones MA; Henrot S; Phlypo R; Chanussot J; Jutten C
IEEE Trans Image Process; 2016 Aug; 25(8):3890-905. PubMed ID: 27305674
[TBL] [Abstract][Full Text] [Related]
9. Non-Negative Matrix Factorization Based on Smoothing and Sparse Constraints for Hyperspectral Unmixing.
Jia X; Guo B
Sensors (Basel); 2022 Jul; 22(14):. PubMed ID: 35891096
[TBL] [Abstract][Full Text] [Related]
10. Multi-GPU Based Parallel Design of the Ant Colony Optimization Algorithm for Endmember Extraction from Hyperspectral Images.
Gao J; Sun Y; Zhang B; Chen Z; Gao L; Zhang W
Sensors (Basel); 2019 Jan; 19(3):. PubMed ID: 30708972
[TBL] [Abstract][Full Text] [Related]
11. Nonparametric Detection of Nonlinearly Mixed Pixels and Endmember Estimation in Hyperspectral Images.
Imbiriba T; Bermudez JC; Richard C; Tourneret JY
IEEE Trans Image Process; 2016 Mar; 25(3):1136-51. PubMed ID: 26685243
[TBL] [Abstract][Full Text] [Related]
12. An Augmented Linear Mixing Model to Address Spectral Variability for Hyperspectral Unmixing.
Hong D; Yokoya N; Chanussot J; Zhu XX
IEEE Trans Image Process; 2018 Nov; ():. PubMed ID: 30418901
[TBL] [Abstract][Full Text] [Related]
13. Robust Hyperspectral Unmixing With Correntropy-Based Metric.
Wang Y; Pan C; Xiang S; Zhu F
IEEE Trans Image Process; 2015 Nov; 24(11):4027-40. PubMed ID: 26186789
[TBL] [Abstract][Full Text] [Related]
14. Adversarial Autoencoder Network for Hyperspectral Unmixing.
Jin Q; Ma Y; Fan F; Huang J; Mei X; Ma J
IEEE Trans Neural Netw Learn Syst; 2023 Aug; 34(8):4555-4569. PubMed ID: 34623277
[TBL] [Abstract][Full Text] [Related]
15. Toward a Sparse Bayesian Markov Random Field Approach to Hyperspectral Unmixing and Classification.
Peng Chen ; Nelson JDB; Tourneret JY
IEEE Trans Image Process; 2017 Jan; 26(1):426-438. PubMed ID: 27810822
[TBL] [Abstract][Full Text] [Related]
16. Distributed Compressed Hyperspectral Sensing Imaging Based on Spectral Unmixing.
Wang Z; Xiao H
Sensors (Basel); 2020 Apr; 20(8):. PubMed ID: 32316540
[TBL] [Abstract][Full Text] [Related]
17. The Successive Projection Algorithm (SPA), an Algorithm with a Spatial Constraint for the Automatic Search of Endmembers in Hyperspectral Data.
Zhang J; Rivard B; Rogge DM
Sensors (Basel); 2008 Feb; 8(2):1321-1342. PubMed ID: 27879768
[TBL] [Abstract][Full Text] [Related]
18. NMF-RI: blind spectral unmixing of highly mixed multispectral flow and image cytometry data.
Jiménez-Sánchez D; Ariz M; Morgado JM; Cortés-Domínguez I; Ortiz-de-Solórzano C
Bioinformatics; 2020 Mar; 36(5):1590-1598. PubMed ID: 31593222
[TBL] [Abstract][Full Text] [Related]
19. Semi-blind sparse affine spectral unmixing of autofluorescence-contaminated micrographs.
Rossetti BJ; Wilbert SA; Mark Welch JL; Borisy GG; Nagy JG
Bioinformatics; 2020 Feb; 36(3):910-917. PubMed ID: 31504202
[TBL] [Abstract][Full Text] [Related]
20. Unsupervised Unmixing of Hyperspectral Images Accounting for Endmember Variability.
Halimi A; Dobigeon N; Tourneret JY
IEEE Trans Image Process; 2015 Dec; 24(12):4904-17. PubMed ID: 26302517
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]