Joint and Progressive Subspace Analysis (JPSA) with Spatial-Spectral
Manifold Alignment for Semi-Supervised Hyperspectral Dimensionality Reduction

Joint and Progressive Subspace Analysis (JPSA) with Spatial-Spectral Manifold Alignment for Semi-Supervised Hyperspectral Dimensionality Reduction

21 September 2020

Jocelyn Chanussot

Papers citing "Joint and Progressive Subspace Analysis (JPSA) with Spatial-Spectral Manifold Alignment for Semi-Supervised Hyperspectral Dimensionality Reduction"

5 / 5 papers shown

Title
Multi-scale Adaptive Fusion Network for Hyperspectral Image Denoising Haodong Pan Feng Gao Junyu Dong Q. Du 23 12 0 19 Apr 2023
Graph Embedding via High Dimensional Model Representation for Hyperspectral Images G. Taşkın Gustau Camps-Valls 16 8 0 29 Nov 2021
Triplet-Watershed for Hyperspectral Image Classification Aditya Challa Sravan Danda B. Sagar Laurent Najman 13 5 0 17 Mar 2021
Learning Convolutional Sparse Coding on Complex Domain for Interferometric Phase Restoration Jian Kang Danfeng Hong Jialin Liu Gerald Baier Naoto Yokoya Begum Demir 34 50 0 06 Mar 2020
Feature Extraction for Hyperspectral Imagery: The Evolution from Shallow to Deep (Overview and Toolbox) Behnood Rasti Danfeng Hong Renlong Hang Pedram Ghamisi Xudong Kang Jocelyn Chanussot J. Benediktsson 47 403 0 05 Mar 2020