Improving SVM classification accuracy using a hierarchical approach for hyperspectral images

Proceedings - International Conference on Image Processing, ICIP

Volumn , Issue , 2009, Pages 2849-2852

  Demir, Begüm ^a   Ertürk, Sarp ^a  

^a KOCAELI UNIVERSITY   (Turkey)

Author keywords

Classification; Hierarchical; Hyperspectral image; Support vector machine; Wavelet transforms

Indexed keywords

IMAGE PROCESSING; IMAGING SYSTEMS; INDEPENDENT COMPONENT ANALYSIS; LOAD TESTING; PIXELS; VECTORS; WAVELET DECOMPOSITION;

CLASS INFORMATION; CLASSIFICATION; CLASSIFICATION ACCURACY; COMPUTATIONAL LOADS; HIERARCHICAL APPROACH; HIERARCHICAL CLASSIFICATION; HIERARCHICAL LEVEL; HIERARCHICAL PROCESSING; HIGHER RESOLUTION; HYPER-SPECTRAL IMAGES; LOW-SPATIAL FREQUENCY; MULTI-CLASS CLASSIFICATION; MULTI-LEVEL; SPATIAL CORRELATIONS; SUPPORT VECTOR; SVM CLASSIFICATION; TESTING TIME; TRAINING DATA;

SUPPORT VECTOR MACHINES;

EID: 77951963418     PISSN: 15224880     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICIP.2009.5414491     Document Type: Conference Paper

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