Special Section on Satellite Data Compression

JPEG2000 encoding of images with NODATA regions for remote sensing applications

[+] Author Affiliations
Alaitz Zabala

Universitat Autonoma de Barcelona, Department of Geography, Despatx B9-1092. Edifici B, Cerdanyola del Valles, Barcelona 08209 Spain

Jorge Gonzalez-Conejero, Joan Serra-Sagrista

Universitat Autonoma de Barcelona, Department of Information and Communications Engineering, Cerdanyola del Valles, Barcelona 08209 Spain

Xavier Pons

Universitat Autonoma de Barcelona, Department of Geography, Despatx B9-1092. Edifici B, Cerdanyola del Valles, Barcelona 08209 Spain

J. Appl. Remote Sens. 4(1), 041793 (July 14, 2010). doi:10.1117/1.3474978
History: Received November 30, 2009; Revised February 24, 2010; Accepted April 19, 2010; July 14, 2010; Online July 14, 2010
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Abstract

The aim of this work is to, within the JPEG2000 framework, enhance the coding performance obtained for images that contain regions without useful information, or without information at all, here named as NODATA regions. In Geographic Information Systems (GIS) and in Remote Sensing (RS), NODATA regions arise due to several factors, such as geometric and radiometric corrections, atmospheric events, the overlapping of successive layers of information, etc. Most coding systems are not devised to consider these regions separately from the rest of the image, sometimes causing a loss in the coding efficiency and in the post-processing applications. We propose two approaches that address this issue; the first technique (Average Data Region, ADR) is carried out as simple pre-processing and the second technique (Shape-Adaptive JPEG2000, SA-JPEG2000) modifies the coding system to avoid the regions without information. Experimental results, performed on data from real applications and different scenarios, suggest that the proposed approaches can achieve, e.g., for SA-JPEG2000, a Signal-to- Noise Ratio improvement of about 8 dB. Moreover, in a post-processing application such as a digital classification, the best classification results are obtained when the proposed approaches SA-JPEG2000 and ADR are applied.

© 2010 Society of Photo-Optical Instrumentation Engineers

Citation

Alaitz Zabala ; Jorge Gonzalez-Conejero ; Joan Serra-Sagrista and Xavier Pons
"JPEG2000 encoding of images with NODATA regions for remote sensing applications", J. Appl. Remote Sens. 4(1), 041793 (July 14, 2010). ; http://dx.doi.org/10.1117/1.3474978


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