Detection method for height limit based on compression encoding imaging

Jianchuan Hu, Ping Wei, Jun Ke

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

We put forward a new method based on compressed encoding imaging faced with detection for height limit. In the beginning of this paper, we focus on hadamard encoding, and analysis the SNR of hadamard encoding. Then, a new encoding matrix M based on hadamard matrix been put forward. Matrix M is suitable for the sparse image obtained from the detection for height limit, and implement easily on the DMD. Compressed encoding imaging simulation based on measurement matrix M have been done in our work, and demonstrates the feasibility of the design method.

Original languageEnglish
Title of host publicationMIPPR 2015
Subtitle of host publicationRemote Sensing Image Processing, Geographic Information Systems, and Other Applications
EditorsJianguo Liu, Hong Sun
PublisherSPIE
ISBN (Electronic)9781510600560
DOIs
Publication statusPublished - 2015
Event9th International Symposium on Multispectral Image Processing and Pattern Recognition: Remote Sensing Image Processing, Geographic Information Systems, and Other Applications, MIPPR 2015 - Enshi, Hubei, China
Duration: 31 Oct 20151 Nov 2015

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
Volume9815
ISSN (Print)0277-786X
ISSN (Electronic)1996-756X

Conference

Conference9th International Symposium on Multispectral Image Processing and Pattern Recognition: Remote Sensing Image Processing, Geographic Information Systems, and Other Applications, MIPPR 2015
Country/TerritoryChina
CityEnshi, Hubei
Period31/10/151/11/15

Keywords

  • DMD
  • compressed sensing
  • hadamard encoding
  • weak signal

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