New Results in Perceptually Lossless Compression of Hyperspectral Images

Article Properties
Cite
Kwan, Chiman, and Jude Larkin. “New Results in Perceptually Lossless Compression of Hyperspectral Images”. Journal of Signal and Information Processing, vol. 10, no. 03, 2019, pp. 96-124, https://doi.org/10.4236/jsip.2019.103007.
Kwan, C., & Larkin, J. (2019). New Results in Perceptually Lossless Compression of Hyperspectral Images. Journal of Signal and Information Processing, 10(03), 96-124. https://doi.org/10.4236/jsip.2019.103007
Kwan, Chiman, and Jude Larkin. “New Results in Perceptually Lossless Compression of Hyperspectral Images”. Journal of Signal and Information Processing 10, no. 03 (2019): 96-124. https://doi.org/10.4236/jsip.2019.103007.
Kwan C, Larkin J. New Results in Perceptually Lossless Compression of Hyperspectral Images. Journal of Signal and Information Processing. 2019;10(03):96-124.
Refrences
Title Journal Journal Categories Citations Publication Date
Compression Algorithm Selection for Multispectral Mastcam Images Signal & Image Processing : An International Journal 5 2019
A Comparison of Compression Codecs for Maritime and Sonar Images in Bandwidth Constrained Applications

Computers
  • Science: Mathematics: Instruments and machines: Electronic computers. Computer science
  • Science: Mathematics: Instruments and machines: Electronic computers. Computer science
11 2019
10.1155/ASP/2006/10968
10.1117/12.421215
10.1117/12.421197
Citations
Title Journal Journal Categories Citations Publication Date
Real-Time Compressed Sensing for Joint Hyperspectral Image Transmission and Restoration for CubeSat IEEE Transactions on Geoscience and Remote Sensing
  • Science: Geology
  • Technology: Electrical engineering. Electronics. Nuclear engineering: Electric apparatus and materials. Electric circuits. Electric networks
  • Geography. Anthropology. Recreation: Geography (General)
  • Technology: Photography
  • Technology: Electrical engineering. Electronics. Nuclear engineering: Electronics
  • Science: Geology
2024
Development of elevator vibration data collection system using simple compression encoding algorithm Soft Computing
  • Science: Mathematics: Instruments and machines: Electronic computers. Computer science
  • Science: Mathematics: Instruments and machines: Electronic computers. Computer science
  • Technology: Mechanical engineering and machinery
  • Technology: Electrical engineering. Electronics. Nuclear engineering: Electronics
  • Science: Mathematics: Instruments and machines: Electronic computers. Computer science
2023
A Coupled Compression Generation Network for Remote-Sensing Images at Extremely Low Bitrates IEEE Transactions on Geoscience and Remote Sensing
  • Science: Geology
  • Technology: Electrical engineering. Electronics. Nuclear engineering: Electric apparatus and materials. Electric circuits. Electric networks
  • Geography. Anthropology. Recreation: Geography (General)
  • Technology: Photography
  • Technology: Electrical engineering. Electronics. Nuclear engineering: Electronics
  • Science: Geology
2023
DCSN: Deep Compressed Sensing Network for Efficient Hyperspectral Data Transmission of Miniaturized Satellite IEEE Transactions on Geoscience and Remote Sensing
  • Science: Geology
  • Technology: Electrical engineering. Electronics. Nuclear engineering: Electric apparatus and materials. Electric circuits. Electric networks
  • Geography. Anthropology. Recreation: Geography (General)
  • Technology: Photography
  • Technology: Electrical engineering. Electronics. Nuclear engineering: Electronics
  • Science: Geology
1 2021
Learned Hyperspectral Compression Using a Student’s T Hyperprior

Remote Sensing
  • Science
  • Geography. Anthropology. Recreation: Environmental sciences
  • Science: Geology
  • Geography. Anthropology. Recreation: Geography (General)
  • Technology: Photography
  • Science: Geology
  • Science: Geology
6 2021
Citations Analysis
The category Technology: Electrical engineering. Electronics. Nuclear engineering: Electric apparatus and materials. Electric circuits. Electric networks 5 is the most commonly referenced area in studies that cite this article. The first research to cite this article was titled Perceptually Lossless Compression for Mastcam Multispectral Images: A Comparative Study and was published in 2019. The most recent citation comes from a 2024 study titled Real-Time Compressed Sensing for Joint Hyperspectral Image Transmission and Restoration for CubeSat. This article reached its peak citation in 2021, with 3 citations. It has been cited in 6 different journals, 33% of which are open access. Among related journals, the IEEE Transactions on Geoscience and Remote Sensing cited this research the most, with 3 citations. The chart below illustrates the annual citation trends for this article.
Citations used this article by year