COMPRESSION OF REMOTELY SENSED DATA USING JPEG

 

 

Dafer Ali Algarni

 

King Saud University, Riyadh , Saudi Arabia

 

 

ABSTRACT

 

The automation complexity may be lessened by compressing digital images without effecting the image fidelity. The Joint Photographic Experts Group (JPEG) is tested for compressing remotely sensed data, e. g. Landsat TM images. The compressed images are compared to the original images at different rates of compression in two different experiments. It is found JPEG can be as useful in digital mapping as it is in video and other visual applications. Compressing a complicated scene to about 12% which saves more than 700,000 bytes of three TM bands with a size of 786,432 bytes, is possible with irregular degrading in the visual quality. Beyond this limit, the image is highly degraded. This may meet certain mapping applications where other measures, rather than high accuracy, are sought. The statistical analysis shows, however, that JPEG can not be recommended for precise mapping, and that the geometric and visual quality of the output of compression is a scene-dependent matter and can not be generalized for all images.

 

 

 

Published in the International Archives of Photogrammetry and Remote Sensing, 1996, vol. XXXI, Part B3, Commission III. Vienna.