Edge-Guided Hyperspectral Image Compression With Interactive Dual Attention
Author:
Affiliation:
1. State Key Laboratory of Information Engineering in Surveying, Mapping, and Remote Sensing, Wuhan University, Wuhan, China
2. Aerospace Information Research Institute, China Academy of Sciences, Beijing, China
Funder
National Natural Science Foundation of China
State Key Laboratory for Information Engineering in Surveying, Mapping and Remote Sensing Special Research Funding
Guangxi Science and Technology Development Project of Major Projects
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
General Earth and Planetary Sciences,Electrical and Electronic Engineering
Link
http://xplorestaging.ieee.org/ielx7/36/10006360/10004556.pdf?arnumber=10004556
Reference53 articles.
1. Hyperspectral Image Compression: Adapting SPIHT and EZW to Anisotropic 3-D Wavelet Coding
2. Hyperspectral image coding using Spectral Prediction Modelling in HEVC coding framework
3. Hyperspectral Image Compression Using Vector Quantization, PCA and JPEG2000
4. Hyperspectral Image Compression Using JPEG2000 and Principal Component Analysis
5. Learned Image Compression With Discretized Gaussian Mixture Likelihoods and Attention Modules
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