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Volumn 7334, Issue , 2009, Pages
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Dynamic thresholding for hyperspectral shadow detection using Levenberg-Marquardt minimization on multiple gaussian illumination distributions
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Author keywords
Hyperspectral; Illumination; Levenberg Marquardt; Shadows
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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;
ALGORITHMS;
IMAGE SEGMENTATION;
PATTERN MATCHING;
RADAR TARGET RECOGNITION;
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EID: 70049084603
PISSN: 0277786X
EISSN: None
Source Type: Conference Proceeding
DOI: 10.1117/12.817826 Document Type: Conference Paper |
Times cited : (5)
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References (9)
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