ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2103.01449
  4. Cited By
Interpretable Hyperspectral AI: When Non-Convex Modeling meets
  Hyperspectral Remote Sensing

Interpretable Hyperspectral AI: When Non-Convex Modeling meets Hyperspectral Remote Sensing

2 March 2021
Danfeng Hong
Wei He
Naoto Yokoya
Jing Yao
Lianru Gao
Liangpei Zhang
Jocelyn Chanussot
Xiaoxiang Zhu
ArXivPDFHTML

Papers citing "Interpretable Hyperspectral AI: When Non-Convex Modeling meets Hyperspectral Remote Sensing"

3 / 3 papers shown
Title
Guided Deep Decoder: Unsupervised Image Pair Fusion
Guided Deep Decoder: Unsupervised Image Pair Fusion
Tatsumi Uezato
Danfeng Hong
Naoto Yokoya
Wei He
MDE
24
81
0
23 Jul 2020
Feature Extraction for Hyperspectral Imagery: The Evolution from Shallow
  to Deep (Overview and Toolbox)
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
61
403
0
05 Mar 2020
Hyperspectral Image Restoration via Total Variation Regularized Low-rank
  Tensor Decomposition
Hyperspectral Image Restoration via Total Variation Regularized Low-rank Tensor Decomposition
Yao Wang
Jiangjun Peng
Qian Zhao
Deyu Meng
Yee Leung
Xile Zhao
65
365
0
08 Jul 2017
1