Comparison of pixel-based and object-based classifications of high resolution satellite data in urban fringe areas

Asian Association on Remote Sensing - 26th Asian Conference on Remote Sensing and 2nd Asian Space Conference, ACRS 2005

Volumn 3, Issue , 2005, Pages 1590-1595

  Kamagata, Noritoshi ^a   Akamatsu, Yukio ^b   Mori, Masaru ^b   Li, Yun Qing ^c   Hoshino, Yoshinobu ^d   Hara, Keitarou ^a  

^a TOKYO UNIVERSITY OF INFORMATION SCIENCES   (Japan)

^b Kokusai Kogyo Co Ltd   (Japan)

^c Japan Space Imaging Corporation   (Japan)

^d TOKYO UNIVERSITY OF AGRICULTURE AND TECHNOLOGY   (Japan)

Author keywords

High resolution satellite data; Object based classification; Pixel based classification; Vegetation

Indexed keywords

EFFECTIVE TOOL; FOREST CANOPIES; FOREST TYPE; HIGH RESOLUTION SATELLITE DATA; ISODATA; LAND COVER; LARGE CITIES; MAXIMUM LIKELIHOOD METHODS; MISCLASSIFICATIONS; OBJECT BASED; PARAMETER SETTING; SMALL AREA; TREE SPECIES; TRIAL AND ERROR; VEGETATION COVER; VEGETATION TYPE;

FORESTRY; REMOTE SENSING; SATELLITES; SPACE OPTICS; VEGETATION;

PIXELS;

EID: 84866113496     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (7)

1. Martin, L.R. and Howarth, P.J. 1989. Change-detection accuracy assessment using SPOT multispectral imagery of the rural-urban fringe. Remote Sens. Environ., 30, pp.55-66.
2. Wolter, P.T. and White, M.A. 2002. Recent forest cover type transitions and landscape structure changes in northeast Minnesota, USA. Landscape Ecology, 17(2), pp. 133-155.
3. Wang, L., Sousa, W.P. and Gong, P. 2004. Integration of object-based and pixel-based classification for mapping mangroves with IKONOS imagery. Int.J.Remote Sensing. vol.25. no24. pp 5655-5668.
4. Benz, U.C., Hofmann, P., Willhauck, G., Lingenfelder, I. and M. Heynen. 2004. Multi-resolution, object-oriented fuzzy analysis of remote sensing data for GIS-ready information. ISPRS Journal of Photogrammetry & Remote Sensing 58. pp 239-258.
5. Repaka, S.R. and Truax, D.D. 2004. Comparing spectral and object based approaches for classification and transportation feature extraction from high resolution multispectral imagery. ASPRS Annual Conference.
6. Hajek, F. 2005. Object-oriented classification of remote sensing data for the identification of tree species composition. Proceedings of ForestSat 2005 conference.
7. Frauman, E. and Wolff, E. 2005. Segmentation of very high spatial resolution satellite images in urban areas for segments-based classification. Proceedings of the ISPRS WG VII/1 "Human Settlements and Impact Analysis" 3rd International Symposium Remote Sensing and Data Fusion Over Urban Areas (URBAN 2005) and 5th International Symposium Remote Sensing of Urban Areas (URS 2005).