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Volumn 2, Issue 1, 2008, Pages 265-268

A novel protocol for accuracy assessment in classification of very high resolution multispectral and SAR images

Author keywords

Accuracy assessment; Classification maps; Geometric accuracy; Remote sensing; Thematic accuracy; VHR image classification

Indexed keywords

GEOLOGY; GEOMETRY; IMAGE CLASSIFICATION; MAPS; RADAR IMAGING; SYNTHETIC APERTURE RADAR;

EID: 66549105839     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IGARSS.2008.4778978     Document Type: Conference Paper
Times cited : (13)

References (4)
  • 1
    • 33748331356 scopus 로고    scopus 로고
    • A multilevel context-based system for classification of very high spatial resolution images
    • L. Bruzzone, L. Carlin, "A Multilevel Context-Based System for Classification of Very High Spatial Resolution Images", IEEE Trans. on Geosci. Remote Sens., vol.44, no. 9, pp 2587-2600, 2006.
    • (2006) IEEE Trans. on Geosci. Remote Sens. , vol.44 , Issue.9 , pp. 2587-2600
    • Bruzzone, L.1    Carlin, L.2
  • 3
    • 16444386461 scopus 로고    scopus 로고
    • Quality assessment of classification and cluster maps without ground truth knowledge
    • April
    • A. Baraldi, L. Bruzzone, P. Blonda, "Quality Assessment of Classification and Cluster Maps Without Ground Truth Knowledge," IEEE Trans. Geosci. Remote Sens., vol.43, no. 4, pp 857-873, April 2005.
    • (2005) IEEE Trans. Geosci. Remote Sens. , vol.43 , Issue.4 , pp. 857-873
    • Baraldi, A.1    Bruzzone, L.2    Blonda, P.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.