Title :
Fusion of coincident images using spatial frequency discrimination by application of the wavelet transform
Author :
Graham, Lewis ; Adhami, Reza
Author_Institution :
Dept. of Res. & Technol., Intergraph Corp., Huntsville, AL, USA
Abstract :
The visual inspection of remotely sensed data is becoming an arduous task as the numbers and types of sensors scanning the same object area proliferates. We present here a technique for constructing a composite image with selected information from the contributing source images. The selection criteria is based on using the spatial frequency distribution, as determined by a two dimensional wavelet transform, as a measure of the information content of the source images
Keywords :
image processing; image segmentation; remote sensing; sensor fusion; wavelet transforms; coincident images fusion; composite image; information content; informational content; remotely sensed data; source images; spatial frequency discrimination; two dimensional wavelet transform; visual inspection; Application software; Entropy; Frequency measurement; Hyperspectral sensors; Image analysis; Image sensors; Infrared image sensors; Inspection; Pixel; Wavelet transforms;
Conference_Titel :
Time-Frequency and Time-Scale Analysis, 1994., Proceedings of the IEEE-SP International Symposium on
Conference_Location :
Philadelphia, PA
Print_ISBN :
0-7803-2127-8
DOI :
10.1109/TFSA.1994.467227
