DocumentCode
291428
Title
Information content of compressed remotely sensed data
Author
Brown, R.J. ; Manore, M.J. ; Bedard, D. ; Hepburn, C.
Author_Institution
Canada Centre for Remote Sensing, Ottawa, Ont., Canada
Volume
1
fYear
1994
fDate
8-12 Aug 1994
Firstpage
320
Abstract
Information is the end requirement from remotely sensed data. However, normally the extraction of this information starts with an original (uncompressed) image which has arrived by courier on some form of digital media. However, as the use of remotely sensed data advances towards more operational use the need for the electronic transfer of data is increasing to meet operational time constraints. In order to reduce the time for data transmission, and consequently costs, considerations are being given to mechanisms to compress data with and without loss. In this study data from the Advanced Very High Resolution Radiometer (AVHRR), and the European Space Agency (ESA) European Remote Sensing Satellite (ERS-1) were compressed to different levels (up to 50 times compression). This paper will present the results of the assessment of the information content of these data for crop condition monitoring (AVHRR) and ice navigation (ERS-1) as a function of compression ratio
Keywords
agriculture; data compression; geophysical signal processing; geophysical techniques; image coding; microwave measurement; oceanographic techniques; optical information processing; radar applications; radiometry; remote sensing; remote sensing by radar; sea ice; AVHRR; Advanced Very High Resolution Radiometer; ERS-1; ESA; agriculture vegetation; compressed remotely sensed data; compression ratio; crop condition monitoring; data compression; geophysical measurement technique; ice navigation; image coding; information content; land surface; microwave radiometry; optical IR infrared radiometry; radar; satellite remote sensing; sea ice ocean; Costs; Crops; Data communication; Data mining; Image coding; Propagation losses; Radiometry; Remote monitoring; Satellite broadcasting; Time factors;
fLanguage
English
Publisher
ieee
Conference_Titel
Geoscience and Remote Sensing Symposium, 1994. IGARSS '94. Surface and Atmospheric Remote Sensing: Technologies, Data Analysis and Interpretation., International
Conference_Location
Pasadena, CA
Print_ISBN
0-7803-1497-2
Type
conf
DOI
10.1109/IGARSS.1994.399115
Filename
399115
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