DocumentCode :
314787
Title :
Effect of scale on the information content in remote sensing imagery
Author :
Niemann, K.O. ; Goodenough, D.G. ; Hay, G.J.
Author_Institution :
Dept. of Geogr., Victoria Univ., BC, Canada
Volume :
2
fYear :
1997
fDate :
3-8 Aug 1997
Firstpage :
664
Abstract :
Earth surface imaging satellites, quite commonly, have a large range in spatial as well as spectral resolutions. The potential for users to become overwhelmed, not only by the quantity of data, but also by the problem of multiple pixel sizes is very real. Second, individual platforms and sensors will have the ability to simultaneously image at multiple resolution. It may therefore be useful and necessary to integrate, or fuse, the images from a number of sources into a single data set. The approach taken in this study is that high resolution data should be degraded when fused with coarser data, rather than the more common approach of “sharpening” coarser imagery. This approach is at odds with the more common attitude but conforms with the generally accepted notion that one cannot introduce detail into a generalized data set
Keywords :
geophysical signal processing; geophysical techniques; image processing; remote sensing; sensor fusion; degraded image; geophysical measurement technique; image degrading; image processing; image resolution; information content; land surface; multiple pixel size; multiscale images; optical imaging; remote sensing; remote sensing imagery; scale; sensor fusion; terrain mapping; Computer science; Degradation; Forestry; Geography; Image resolution; Image sensors; Remote sensing; Satellites; Sea measurements; Spatial resolution;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Geoscience and Remote Sensing, 1997. IGARSS '97. Remote Sensing - A Scientific Vision for Sustainable Development., 1997 IEEE International
Print_ISBN :
0-7803-3836-7
Type :
conf
DOI :
10.1109/IGARSS.1997.615217
Filename :
615217
Link To Document :
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