Show
Sort by
-
Joint classification of hyperspectral and LiDAR data using hierarchical random walk and deep CNN architecture
-
- Conference Paper
- C1
- open access
A deep-neural-network-based hybrid method for semi-supervised classification of polarimetric SAR data
-
- Conference Paper
- P1
- open access
Semi-supervised classification of polarimetric SAR images using Markov random field and two-level Wishart mixture model
-
Variational textured dirichlet process mixture model with pairwise constraint for unsupervised classification of polarimetric SAR images
-
Unsupervised classification of multilook polarimetric SAR data using spatially variant wishart mixture model with double constraints
-
- Conference Paper
- C1
- open access
Non-negative matrix factorization with mixture of Itakura-Saito divergence for SAR images
-
Centralized collaborative sparse unmixing for hyperspectral images
(2017) IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING. 10(5). p.1949-1962 -
Hyperspectral unmixing using double reweighted sparse regression and total variation
-
- Conference Paper
- C1
- open access
Hyperspectral unmixing by reweighted low rank and total variation