A new method for cross-normalization and multitemporal visualization of SAR images for the detection of flooded areas

IEEE Transactions on Geoscience and Remote Sensing

Volumn 50, Issue 7 PART 2, 2012, Pages 2765-2779

  Dellepiane, Silvana G ^a   Angiati, Elena ^a  

^a UNIVERSITY OF GENOA   (Italy)

Author keywords

Data fusion; flood detection; image enhancement; multitemporal synthetic aperture radar (SAR) imagery; RGB composition

Indexed keywords

AUTOMATICALLY GENERATED; COLOR IMAGES; COSMO/SKYMED; CROSS CALIBRATION; EXPERIMENTAL PROCEDURE; FIRST AIDS; FLOODED AREAS; IMAGE PREPROCESSING; MULTI-TEMPORAL SAR IMAGES; MULTITEMPORAL SYNTHETIC APERTURE RADAR IMAGES; MULTITEMPORAL VISUALIZATION; NON-GAUSSIAN MODELS; NUMERICAL COMPARISON; PREPROCESSING PHASE; PROCESSING CHAIN; RADAR BACKSCATTERING; SAR IMAGES; SENSITIVE PROBLEMS; SPATIAL RESOLUTION; STRIPMAP; SYNTHETIC APERTURE RADAR IMAGERY; USER INTERACTION; VISUALIZATION PROCESS;

CALIBRATION; DATA FUSION; GRAPHICAL USER INTERFACES; IMAGE ENHANCEMENT; VISUALIZATION;

SYNTHETIC APERTURE RADAR;

ALGORITHM; ASYMMETRY; BACKSCATTER; CALIBRATION; DATA SET; DETECTION METHOD; ERROR ANALYSIS; FLOODING; HISTOGRAM; IMAGE ANALYSIS; MAP; NUMERICAL MODEL; SPATIAL RESOLUTION; SYNTHETIC APERTURE RADAR; VISUALIZATION;

EID: 84862984588     PISSN: 01962892     EISSN: None     Source Type: Journal    
DOI: 10.1109/TGRS.2011.2174999     Document Type: Article

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