Change detection based on image segment and fusion in multitemporal SAR images

APSAR 2009 - 2009 Asia-Pacific Conference on Synthetic Aperture Radar, Proceedings

Volumn , Issue , 2009, Pages 821-824

  Wang, Guiting ^a   Gu, Zhenquan ^a   Jiao, Licheng ^a   Fan, Yuanzhang ^a  

^a XIDIAN UNIVERSITY   (China)

Author keywords

Canny edge match; Change detection; Condition probability; Image fusion; Image segmentation

Indexed keywords

CANNY EDGES; CHANGE DETECTION; CHANGE REGION; CONDITION PROBABILITY; CONDITIONAL PROBABILITIES; DIFFERENCE IMAGES; FUSION IMAGE; FUSION METHODS; IMAGE SEGMENTS; MULTI-TEMPORAL SAR IMAGES; ORIGINAL IMAGES; SAR IMAGES; SEGMENTATION METHODS; SEGMENTATION RESULTS; SPATIAL CONTEXT;

DIGITAL IMAGE STORAGE; IMAGE CLASSIFICATION; IMAGE SEGMENTATION; IMAGING SYSTEMS; PROBABILITY; RADAR; SIGNAL DETECTION; SYNTHETIC APERTURE RADAR; SYNTHETIC APERTURES;

IMAGE FUSION;

EID: 77949651685     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/APSAR.2009.5374182     Document Type: Conference Paper

References (2)

1. M.Gabriele and B.S Sebastiano, "Generalized Minimnm-Enor Thresholding for Unsnpervised Change Detection From SAR Amplitnde Imagery "[J]. IFFF Trans. Geoscience and Remote Sensing, 2006, 44 (10): 2972-2982.
2. L.Alparone and A. Bruno, et al."Robust change analysis of SAR data through information-theoretic multitemporal features", International Geoscience and Remote Sensing Symposium (IGARSS) ,2008, p 3883-3886.