An Extremely Pipelined FPGA Implementation of a Lossy Hyperspectral Image Compression Algorithm
Author:
Funder
Spanish Government
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
General Earth and Planetary Sciences,Electrical and Electronic Engineering
Link
http://xplorestaging.ieee.org/ielx7/36/9205700/09057552.pdf?arnumber=9057552
Cited by 14 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. Lossless and Near-Lossless Compression Algorithms for Remotely Sensed Hyperspectral Images;Entropy;2024-04-05
2. Parametric Pipelined k-Means Implementation for Hyperspectral Processing on Spacecraft Embedded FPGA;IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing;2024
3. Low power high speed FPGA design of lossless medical image compression using optimal deep neural network;Multimedia Tools and Applications;2023-10-09
4. Convolutional Neural Network Based Lossless Compression of Hyperspectral Images on FPGA Platform;2023 International Conference on Network, Multimedia and Information Technology (NMITCON);2023-09-01
5. Optimized active contor segmentation model for medical image compression;Biomedical Signal Processing and Control;2023-02
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