Multiband image fusion using an unsupervised contextual method

ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings

Volumn 4, Issue , 2002, Pages

  Germain, Mickaël ^a   Boucher, Jean Marc ^a   Bénié, Goze Bertin ^a  

^a TECHNOPÔLE BREST IROISE   (France)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; IMAGE SENSORS; REMOTE SENSING; SENSOR DATA FUSION; SET THEORY;

DEMPSTER-SHAFER THEORY; IMAGE FUSION; UNSUPERVISED CONTEXTUAL METHOD;

IMAGE ANALYSIS;

EID: 0036295138     PISSN: 15206149     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (8)

1. Classification image classification by combining statistical and ban-ratio measures using the dempster/shafer approach
2. Segmentation statistique floue d'images
3. Introduction of neighborhood information in evidence theory and application to data fusion of radar and optical images with partial cloud cover
4. Application of dempster-shafer evidence theory to unsupervised classification in multisource remote sensing
5. Probabilistic and evidential approaches for multisource data analysis
6. Local parameter estimation and unsupervised segmentation of SAR images
7. Contextual data fusion applied to forest map revision