메뉴 건너뛰기




Volumn 33, Issue , 2000, Pages 238-245

Land use classification of remote sensing image with GIS data based on spatial data mining techniques

Author keywords

Data mining; Inductive learning; Knowledge discovery; Land use classification; Learning granularity

Indexed keywords

CLASSIFICATION (OF INFORMATION); DATA HANDLING; DATA MINING; IMAGE CLASSIFICATION; IMAGE ENHANCEMENT; LAND USE; LEARNING ALGORITHMS; LEARNING SYSTEMS; REMOTE SENSING; SPECTROSCOPY;

EID: 84902473064     PISSN: 16821750     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (20)

References (8)
  • 3
    • 0031465270 scopus 로고    scopus 로고
    • A machine-learning approach to automated knowledge-base building for remote sensing image analysis with GIS data
    • Huang Xueqiao and John R. Jensen 1997. A Machine-Learning Approach to Automated Knowledge-Base Building for Remote Sensing Image Analysis with GIS Data. Photogrammetric Engineering & Remote Sensing, Vol. 63, No 10, pp1185-1194
    • (1997) Photogrammetric Engineering & Remote Sensing , vol.63 , Issue.10 , pp. 1185-1194
    • Xueqiao, H.1    Jensen, J.R.2
  • 4
    • 33645064627 scopus 로고
    • KDG: Knowledge discovery from GIS - Propositions on the use of KDD in an intelligent GIS
    • Li Deren, Cheng Tao 1994. KDG: Knowledge Discovery from GIS - Propositions on the Use of KDD in an Intelligent GIS. In Proc. ACTES, The Canadian Conf. on GIS
    • (1994) Proc. ACTES, the Canadian Conf. on GIS
    • Li, D.1    Cheng, T.2
  • 6
    • 85045971193 scopus 로고
    • Inductive learning: Knowledge discovery from database
    • Shenyang, China, Sept.
    • th National Conf. on Database, Shenyang, China, Sept.
    • (1992) th National Conf. on Database
    • Li, D.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.