Title :
A novel multitemporal detector for primitive extraction from VHR SAR images
Author :
Marin, Carlo ; Bovolo, Francesca ; Bruzzone, Lorenzo
Author_Institution :
Dept. of Inf. Eng. & Comput. Sci., Univ. of Trento, Trento, Italy
Abstract :
This paper presents a novel approach to multitemporal detection of primitives in very high resolution (VHR) SAR images. The proposed approach aims at exploiting the monotemporal as well as the multitemporal information in order to both: i) identify transitions in the state of primitives (i.e., detect changes); and ii) improve the monotemporal detection of primitives taking explicitly advantage of the temporal correlation. The performance of the multitemporal detector is evaluated on a time series of four TerraSAR-X images acquired over the city of Lüneburg in Germany. Experimental results confirm the effectiveness of the proposed approach.
Keywords :
feature extraction; image resolution; radar detection; radar imaging; synthetic aperture radar; time series; TerraSAR-X images; VHR SAR image; monotemporal detection; multitemporal detector; multitemporal information; multitemporal primitive detection; primitive extraction; primitives state transitions identification; synthetic aperture radar; time series; very high resolution; Backscatter; Bayes methods; Buildings; Detectors; Fuzzy logic; Image resolution; Synthetic aperture radar; Change detection; Multitemporal images; Primitive detection; Synthetic aperture radar; Very high geometrical resolution images;
Conference_Titel :
Geoscience and Remote Sensing Symposium (IGARSS), 2013 IEEE International
Conference_Location :
Melbourne, VIC
Print_ISBN :
978-1-4799-1114-1
DOI :
10.1109/IGARSS.2013.6723199