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Volumn 3, Issue , 2009, Pages

Morphological attribute filters for the analysis of very high resolution remote sensing images

Author keywords

Mathematical morphology; Morphological filters; Morphological profiles; Very high resolution

Indexed keywords

ATTRIBUTE FILTERS; GEODESIC RECONSTRUCTION; MORPHOLOGICAL FILTERS; MORPHOLOGICAL OPERATOR; MORPHOLOGICAL PROFILE; MULTILEVEL APPROACH; QUICKBIRD; SPATIAL INFORMATIONS; VERY HIGH RESOLUTION; VERY HIGH RESOLUTION IMAGE;

EID: 77950940250     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IGARSS.2009.5418096     Document Type: Conference Paper
Times cited : (19)

References (8)
  • 2
    • 0035248508 scopus 로고    scopus 로고
    • A new approach for the morphological segmentation of high-resolution satellite imagery
    • Feb.
    • M. Pesaresi and J. A. Benediktsson, "A new approach for the morphological segmentation of high-resolution satellite imagery," IEEE Trans.Geosci. Remote Sens., vol.39, no.2, pp. 309-320, Feb. 2001.
    • (2001) IEEE Trans.Geosci. Remote Sens. , vol.39 , Issue.2 , pp. 309-320
    • Pesaresi, M.1    Benediktsson, J.A.2
  • 6
    • 66549105839 scopus 로고    scopus 로고
    • A Novel Protocol for Accuracy Assessment in Classification of Very High Resolution Multispectral and SAR Images
    • L. Bruzzone, C. Persello, "A Novel Protocol for Accuracy Assessment in Classification of Very High Resolution Multispectral and SAR Images" in Proc. IGARSS, 2008, vol.2, pp. 265-268.
    • (2008) Proc. IGARSS , vol.2 , pp. 265-268
    • Bruzzone, L.1    Persello, C.2
  • 7
    • 84937655864 scopus 로고
    • Visual Pattern Recognition by Moment Invariants
    • M. K. Hu, "Visual Pattern Recognition by Moment Invariants", IRE Trans. Info. Theory, vol.IT-8, pp.179-187, 1962.
    • (1962) IRE Trans. Info. Theory , vol.IT-8 , pp. 179-187
    • Hu, M.K.1
  • 8
    • 0035478854 scopus 로고    scopus 로고
    • Random Forests
    • L. Breiman, "Random Forests," Machine Learning. vol.45, pp. 5-32, 2001.
    • (2001) Machine Learning , vol.45 , pp. 5-32
    • Breiman, L.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.