Title :
Texture feature extraction by wavelet projection pursuit for cloud detection in AVIRIS and AVHRR imagery
Author :
Bachmann, Charles M. ; Clothiaux, Eugene E.
Author_Institution :
Airborne Radar Branch, Naval Res. Lab., Washington, DC, USA
Abstract :
A constrained projection pursuit model is used to extract textural features from two multi-spectral, remote sensing databases of AVIRIS and AVHRR imagery. The goal is to evaluate methods which may eventually be useful for cloud detection in multi-angle imaging spectrometer (MISR) imagery. The method is an unsupervised adaptive wavelet technique that topologically constrains the projection vector and complements other techniques for extracting texture information
Keywords :
clouds; feature extraction; image texture; multilayer perceptrons; object detection; remote sensing; search problems; unsupervised learning; visual databases; wavelet transforms; AVHRR imagery; AVIRIS imagery; cloud detection; constrained projection pursuit model; multi-angle imaging spectrometer imagery; multi-spectral remote sensing databases; texture feature extraction; unsupervised adaptive wavelet technique; wavelet projection pursuit; Airborne radar; Artificial neural networks; Brain modeling; Clouds; Cost function; Electronic mail; Feature extraction; High performance computing; Laboratories; Radar detection;
Conference_Titel :
Neural Networks for Signal Processing [1996] VI. Proceedings of the 1996 IEEE Signal Processing Society Workshop
Conference_Location :
Kyoto
Print_ISBN :
0-7803-3550-3
DOI :
10.1109/NNSP.1996.548365
