Onboard image selection for small-satellite based remote sensing mission

Yihang Wang, Shaohui Mei, Shuai Wan, Yi Wang, Yi Li

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

3 Scopus citations

Abstract

The contradiction that imaging system can acquire huge amount of image data while communication system can deliver only a very small part of them has become a bottleneck for the small-satellite based earth observation. In this paper, a novel onboard image selection strategy is designed to select most informative images that are acquired by the imaging system for transmission. Specifically, the image that is worst reconstructed by previously transmitted images, instead of the instantly acquired image, is selected since it possesses most distinguishing information to previously transmitted images. Experiment on simulated image sequence has demonstrated the effectiveness of the proposed onboard image selection algorithm.

Original languageEnglish
Title of host publication2015 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2015 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1618-1621
Number of pages4
ISBN (Electronic)9781479979295
DOIs
StatePublished - 10 Nov 2015
EventIEEE International Geoscience and Remote Sensing Symposium, IGARSS 2015 - Milan, Italy
Duration: 26 Jul 201531 Jul 2015

Publication series

NameInternational Geoscience and Remote Sensing Symposium (IGARSS)
Volume2015-November

Conference

ConferenceIEEE International Geoscience and Remote Sensing Symposium, IGARSS 2015
Country/TerritoryItaly
CityMilan
Period26/07/1531/07/15

Keywords

  • image clustering
  • image selection
  • onboard processing
  • Small-Satellite

Fingerprint

Dive into the research topics of 'Onboard image selection for small-satellite based remote sensing mission'. Together they form a unique fingerprint.

Cite this