메뉴 건너뛰기




Volumn 98, Issue 6, 2000, Pages 37-39

Selecting and Interpreting High-Resolution Images

Author keywords

[No Author keywords available]

Indexed keywords

FORESTRY; IMAGE ANALYSIS; RESOLUTION;

EID: 0033919053     PISSN: 00221201     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article
Times cited : (20)

References (5)
  • 1
    • 0024163748 scopus 로고
    • Using cluster analysis to improve the selection of training statistics in classifying remotely sensed data
    • CHUVIECO, E., and R. CONGALTON. 1988. Using cluster analysis to improve the selection of training statistics in classifying remotely sensed data. Photogrammetric Engineering and Remote Sensing 54(9):1275-81.
    • (1988) Photogrammetric Engineering and Remote Sensing , vol.54 , Issue.9 , pp. 1275-1281
    • Chuvieco, E.1    Congalton, R.2
  • 2
    • 8344241331 scopus 로고    scopus 로고
    • Regional geographic database supports environmental assessment
    • January
    • FEHRINGER, J., K. GREEN, J. CAMPBELL, and C. FRYE. 1997. Regional geographic database supports environmental assessment. GIS World, January.
    • (1997) GIS World
    • Fehringer, J.1    Green, K.2    Campbell, J.3    Frye, C.4
  • 4
    • 0031970890 scopus 로고    scopus 로고
    • A modified contextual classification technique for remote sensing data
    • SHARMA, K.M.S., and A. SARKAR. 1998. A modified contextual classification technique for remote sensing data. Photogrammetric Engineering and Remote Sensing 64(4):273-80.
    • (1998) Photogrammetric Engineering and Remote Sensing , vol.64 , Issue.4 , pp. 273-280
    • Sharma, K.M.S.1    Sarkar, A.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.