Study on river segmentation and bridge recognition for SAR image based on FSVM

Proceedings of SPIE - The International Society for Optical Engineering

Volumn 9299, Issue , 2014, Pages

  Wang, Hui ^a,b   Yin, Dong ^a,b   Sun, Tao ^b,c  

^a UNIVERSITY OF SCIENCE AND TECHNOLOGY OF CHINA   (China)

^b Joint Lab of Ultra Precision Control and System   (China)

^c CHANGCHUN INSTITUTE OF OPTICS   (China)

Author keywords

Bridge detection; fuzzy support vector machine; summation minimum of direction energy

Indexed keywords

OBJECT RECOGNITION; OPTICAL CHARACTER RECOGNITION; REMOTE SENSING; RIVERS; SUPPORT VECTOR MACHINES; SYNTHETIC APERTURE RADAR;

BRIDGE DETECTIONS; BRIDGE RECOGNITION; CLASSIFICATION MODELS; FUZZY SUPPORT VECTOR MACHINE (FSVM); FUZZY SUPPORT VECTOR MACHINES; SAR IMAGE SEGMENTATION; SUMMATION MINIMUM OF DIRECTION ENERGY; TRAINING EXAMPLE;

IMAGE SEGMENTATION;

EID: 84922928094     PISSN: 0277786X     EISSN: 1996756X     Source Type: Conference Proceeding    
DOI: 10.1117/12.2073120     Document Type: Conference Paper

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