Land cover classification of SSC image: Unsupervised and supervised classification using ERDAS imagine

International Geoscience and Remote Sensing Symposium (IGARSS)

Volumn 4, Issue , 2004, Pages 2707-2712

  Long III, Wilbert ^a   Srihar, Shobha ^a  

^a VIRGINIA STATE UNIVERSITY   (United States)

Author keywords

Image Classification; Supervised classification; Unsupervised classification

Indexed keywords

DATA REDUCTION; DATABASE SYSTEMS; GEOGRAPHIC INFORMATION SYSTEMS; GLOBAL POSITIONING SYSTEM; IMAGE ANALYSIS; IMAGING SYSTEMS; LAND USE; REMOTE SENSING; SPACE RESEARCH; VEGETATION;

ERDAS IMAGINE 8.5 - COMPUTER SOFTWARE; IMAGE CLASSIFICATION; SUPERVIZED CLASSIFICATION; UNSUPERVIZED CLASSIFICATION;

CLASSIFICATION (OF INFORMATION);

EID: 15944420188     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (5)

1. ERDAS Inc. 1997. ERDAS -Imagine 8.3 tour guide. ERDAS, Inc. Atlanta, GA.
2. Everitt, J. H., A. J. Richardson, and P. R. Nixon. 1986. Canopy reflectance characteristics of succulent and nonsucculent rangeland plant species. Photogramm. Eng. Remote Sens. 52:1891-1897.
3. Everitt, J. H., R. D. Pettit, and M. A. Alaniz. 1987. Remote sensing of broom snakeweed (Gutierrezia sarothrae) and spiny aster (Aster spinosus). Weed Sd. 35:295-302.
4. Everitt, J. H., M. A. Alaniz, D. E. Escobar, and M. R. Davis. 1992. Using remote sensing to distinguish common (lsocoma coronopifolia) and Druxnmond goldenweed (lsocoma drummondii). Weed Sci.40:62 1-628
5. Everitt, S.H., Yang, D. E. Escobar, C. F. Webster, R. I. Lonard, and M. R. Davis. 1999. Using remote sensing and spatial information technologies to detect and map two aquatic macrophytes. J. Aquatic Plant Manage. 37:71-80.