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Volumn 67, Issue 7, 2001, Pages 849-855

Using spatial co-occurrence texture to increase forest structure and species composition classification accuracy

Author keywords

[No Author keywords available]

Indexed keywords

DATA REDUCTION; IMAGE PROCESSING; IMAGE SENSORS;

EID: 0034951714     PISSN: 00991112     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article
Times cited : (103)

References (39)
  • 21
    • 0023554881 scopus 로고
    • A study to evaluate multispectral imagery digital data for classifying and mapping coniferous forests in the northern Lower Peninsula of Michigan, USA
    • (1987) Canadian Journal of Remote Sensing , vol.13 , pp. 39-42
    • Hudson, W.D.1
  • 36
    • 0031177940 scopus 로고    scopus 로고
    • Automated forest structure mapping from high resolution imagery based on directional semivariogram estimates
    • (1997) Remote Sensing of Environment , vol.61 , pp. 82-95


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.