Title :
Edge validation in SAR images using likelihood ratio tests
Author :
Wu, Q.X. ; North, H.
Author_Institution :
Landcare Res., Lincoln, New Zealand
Abstract :
SAR image segmentation is performed in four stages. The first three are conventional and familiar to many researchers: 1) reduce the multiplicative speckle noise; 2) detect edges between different surfaces; 3) clean and link edges to form regions. The fourth task is the authors´ newly introduced statistical testing procedure for validating suspect edges, in particular, those linking edge segments. This step is necessary because the result of the first three will inevitably contain errors due to the inadequacies of noise filters and edge detectors, as well as the heuristic nature of the linking process
Keywords :
edge detection; geophysical signal processing; geophysical techniques; image segmentation; radar imaging; remote sensing by radar; synthetic aperture radar; SAR; edge detection; geophysical measurement technique; image processing; image segmentation; land surface; likelihood ratio test; radar image; radar remote sensing; statistical testing procedure; suspect edge validation; synthetic aperture radar; terrain mapping; Detectors; Filters; Image edge detection; Image segmentation; Joining processes; Noise reduction; Speckle; Statistical analysis; Surface cleaning; Testing;
Conference_Titel :
Geoscience and Remote Sensing Symposium Proceedings, 1998. IGARSS '98. 1998 IEEE International
Conference_Location :
Seattle, WA
Print_ISBN :
0-7803-4403-0
DOI :
10.1109/IGARSS.1998.702897