An adaptive segmentation algorithm using iterative local feature extraction for hyperspectral imagery

IEEE International Conference on Image Processing

Volumn 1, Issue , 2001, Pages 74-77

  Kwon, H ^a   Der, S Z ^a   Nasrabadi, N M ^a  

^a U S ARMY RESEARCH LABORATORY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ADAPTIVE ALGORITHMS; COMPUTER SIMULATION; FEATURE EXTRACTION; INFRARED IMAGING; PATTERN MATCHING; SPECTROMETERS;

ADAPTIVE SEGMENTATION ALGORITHM; HYPERSPECTRAL IMAGERY; ITERATIVE LOCAL FEATURE EXTRACTION;

IMAGE SEGMENTATION;

EID: 0035168053     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (7)

1. Use of hyperspectral imagery for material classification in outdoor scenes
2. Thermal multispectral detection of military vehicles in vegetated and desert background
3. On classification of multispectral infrared data
4. Invariant subpixel material identification in hyper spectral imagery
5. Hyper-spectral and polarization imaging using an atof imager
6. Detection of subpixel anomalies in multispectral infrared imagery using an adaptive Bayesian classifier
7. An adaptive clustering algorithm for image segmentation