Integrating dynamic and distributed compressive sensing techniques to enhance image quality of the compressive line sensing system for unmanned aerial vehicles application-Reference-Cited by-同舟云学术

Integrating dynamic and distributed compressive sensing techniques to enhance image quality of the compressive line sensing system for unmanned aerial vehicles application

Published:2017-05-03 Issue:3 Volume:11 Page:032407
ISSN:1931-3195
Container-title:Journal of Applied Remote Sensing
language:en
Short-container-title:J. Appl. Remote Sens

Author:

Ouyang Bing¹,Hou Weilin²,Caimi Frank M.¹,Dalgleish Fraser R.¹,Vuorenkoski Anni K.¹,Gong Cuiling³

Affiliation:

1. Florida Atlantic University, Harbor Branch Oceanographic Institute, Fort Pierce, Florida, United States

2. Naval Research Laboratory, Stennis Space Center, Mississippi, United States

3. Texas Christian University, Department of Engineering, Fort Worth, Texas, United States

Publisher

SPIE-Intl Soc Optical Eng

Subject

General Earth and Planetary Sciences

Reference23 articles.

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5. Distributed compressed sensing;Baron,2006

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