Title :
Model-based feature classification and change detection
Author :
Ngai, Francis M. ; Curlander, James C. ; Stocker, Alan D.
Author_Institution :
Vexcel Corp., Boulder, CO, USA
Abstract :
Describes a novel image processing system which performs constant false-alarm rate (CFAR) change detection and model-based feature classification on temporally separated and precision registered images. The authors present results of algorithms performed on 0.5 m to 2 m resolution scanned aerial photographs of the Yuma, Arizona region to identify changes that correspond to man-made targets and new roads and to classify false changes
Keywords :
feature extraction; geophysical signal processing; geophysical techniques; image classification; image sequences; optical information processing; remote sensing; Arizona; United States USA; Yuma; aerial photograph; algorithm; change detection; constant false-alarm rate; false changes; feature extraction image classification; geophysical measurement technique; image processing; image sequences; land surface; man-made target; model-based feature classification; optical imaging; remote sensing; road; temporally separated; terrain mapping; Change detection algorithms; Computer vision; Data processing; Gas detectors; Image processing; Image resolution; Layout; Pixel; Roads; Spatial resolution;
Conference_Titel :
Geoscience and Remote Sensing Symposium, 1994. IGARSS '94. Surface and Atmospheric Remote Sensing: Technologies, Data Analysis and Interpretation., International
Conference_Location :
Pasadena, CA
Print_ISBN :
0-7803-1497-2
DOI :
10.1109/IGARSS.1994.399789
