Vegetation cover mapping using hybrid analysis of ikonos data

International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives

Volumn 35, Issue , 2004, Pages 286-289

  Hirose, Y ^a   Mori, M ^a   Akamatsu, Y ^a   Li, Y ^b  

^a Kokusai Kogyo Co Ltd   (Japan)

^b Japan Space Imaging Corporation   (Japan)

Author keywords

Classification; High resolution; IKONOS; Remote sensing; Segmentation; Spectral; Texture; Vegetation

Indexed keywords

CLASSIFICATION (OF INFORMATION); IMAGE CLASSIFICATION; IMAGE PROCESSING; IMAGE SEGMENTATION; MAPPING; REMOTE SENSING; SOIL CONSERVATION; TEXTURES; VEGETATION; WATER CONSERVATION; WATER MANAGEMENT;

ENVIRONMENTAL STUDIES; GEOMETRIC INFORMATION; HIGH RESOLUTION; IKONOS; MULTI SCALE ANALYSIS; OBJECT BASED IMAGE ANALYSIS; SPECTRAL; WATERSHED MANAGEMENT PROJECTS;

IMAGE ANALYSIS;

EID: 84957070040     PISSN: 16821750     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (3)

1. Baatz, M. and Schäpe, A., 2000. Multiresolution segmentation - an optimization approach for high quality multi-scale image segmentation. In Angewandte Geographische Informationsverarbeitung, edited by Strobl, J., Blaschke, T., and Griesebner, G., (Heidelberg: Wichmann-Verlag), pp. 12-23.
2. Ministry of Land, Infrastructure, and Transport of Japan, River Bureau, River Environment Section, 1997. Manual of River Census (Biological Study). (in Japanese).
3. Usuda, Y., et al. 2003. A study on the optimization of image segmentation in object-Oriented Classification. Proceedings of the annual conference of the Japan Society for Photogrammetry and Remote Sensingin 2003 pp. 125-128. (in Japanese)