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Volumn 7334, Issue , 2009, Pages

Dynamic thresholding for hyperspectral shadow detection using Levenberg-Marquardt minimization on multiple gaussian illumination distributions

Author keywords

Hyperspectral; Illumination; Levenberg Marquardt; Shadows

Indexed keywords

CHANGE DETECTION; DYNAMIC THRESHOLDING; GAUSSIAN SUM; GAUSSIANS; HYPER-SPECTRAL IMAGES; HYPERSPECTRAL; HYPERSPHERICAL COORDINATES; ILLUMINATION; ILLUMINATION DISTRIBUTION; ITERATIVE TECHNIQUE; LEVENBERG-MARQUARDT; LEVENBERG-MARQUARDT ALGORITHM; LEVENBERG-MARQUARDT MINIMIZATION; LM ALGORITHM; MULTIVARIATE FUNCTION; NON-LINEAR; OPTIMAL POINTS; REAL-VALUED FUNCTIONS; SHADOW DETECTIONS; SHADOW REGIONS; SHADOWS; SIGNAL TO NOISE; SIMILAR MATERIAL; SPECTRAL ANGLES; SPECTRAL MATCHED FILTERS; SPECTRAL VECTOR; STANDARD DEVIATION; SUM OF SQUARES; SUPPRESSION TECHNIQUE; TARGET DETECTION;

EID: 70049084603     PISSN: 0277786X     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1117/12.817826     Document Type: Conference Paper
Times cited : (5)

References (9)
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.