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High-Throughput Onboard Hyperspectral Image Compression With Ground-Based CNN Reconstruction

  • Published:2019-12 Issue:12 Volume:57 Page:9544-9553
  • ISSN:0196-2892
  • Container-title:IEEE Transactions on Geoscience and Remote Sensing
  • language:
  • Short-container-title:IEEE Trans. Geosci. Remote Sensing

Author:

Valsesia DiegoORCID,Magli EnricoORCID

Funder

Horizon 2020 Framework Programme

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Earth and Planetary Sciences,Electrical and Electronic Engineering

Cited by 32 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A Parallel Architecture and Implementation for Near-Lossless Hyperspectral Image Compression Based on CCSDS 123.0-B-2 With Scalable Data-Rate Performance;IEEE Transactions on Very Large Scale Integration (VLSI) Systems;2024-09

2. Hybrid Recurrent-Attentive Neural Network for Onboard Predictive Hyperspectral Image Compression;IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium;2024-07-07

3. A Comprehensive Review of Deep Learning Methods for Hyperspectral Image Compression;2024 3rd International Conference on Advancement in Electrical and Electronic Engineering (ICAEEE);2024-04-25

4. Efficient Hyperspectral Data Compression using 3D Convolutional Autoencoder;2024 3rd International Conference on Advancement in Electrical and Electronic Engineering (ICAEEE);2024-04-25

5. Lossless and Near-Lossless Compression Algorithms for Remotely Sensed Hyperspectral Images;Entropy;2024-04-05
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