naa a22 4500 510762816 CHVBK 20180411083145.0 cr unu---uuuuu 180411e20130701xx s 000 0 eng 10.1007/s11355-012-0202-7 doi (NATIONALLICENCE)springer-10.1007/s11355-012-0202-7 Object-oriented image analysis to extract landscape elements in urban fringes, Central Japan [Elektronische Daten] [Kazuyuki Takahashi, Noritoshi Kamagata, Keitarou Hara] A method enabling the object-oriented image analysis of landscape elements incorporating topographic data was designed and tested on a Japanese countryside target area. IKONOS data (four multispectral bands with a spatial resolution of 4m and a panchromatic band with a spatial resolution of 1m) acquired on 23 April 2001 were used. Definiens v.5 software (Definiens AG, München, Germany) was employed for the classification. The initial segmentation was multiresolution and bottom-up, and each segment identified was considered to be one object. Two classifications employing the same landscape elements and ground truth data were implemented. One classification adopted an object-based image analysis classification method based on spectral characteristics; the other utilized an object-oriented image analysis (OOIA) that allows for a suitable scale parameter to be selected independently for each landscape element. In addition, topographic data derived from field surveys (walking surveys) and topographic maps were used to create a topographic database delineating the boundary between valley bottoms and the adjacent slopes (elevation: about 10m). These data were then integrated into the OOIA analysis. The accuracies of the two classifications were assessed by comparing the results to a master landscape map produced directly from aerial photographs and on-site observations. The object-oriented method using the topographic data resulted in a higher overall kappa coefficients (0.63-0.47) than the object-based method. These results indicate that object-oriented image analysis of very high resolution data used in combination with topographic data can be an effective tool for landscape classification in Japan, where historical land-use patterns have resulted in finely dissected landscapes. International Consortium of Landscape and Ecological Engineering and Springer Japan, 2012 Landscape classification nationallicence Topographic data nationallicence Japanese countryside nationallicence IKONOS nationallicence VHR satellite data nationallicence Takahashi Kazuyuki Graduate School of Informatics, Tokyo University of Information Sciences, 4-1 Onaridai, Wakaba-ku, 265-8501, Chiba, Japan aut Kamagata Noritoshi Kokusai Kogyo Co. Ltd, 2-24-1 Harumicho, 183-0057, Fuchu, Tokyo, Japan aut Hara Keitarou Department of Environmental Information, Tokyo University of Information Sciences, 4-1 Onaridai, Wakaba-ku, 265-8501, Chiba, Japan aut Landscape and Ecological Engineering Springer Japan 9/2(2013-07-01), 239-247 1860-1871 9:2<239 2013 9 11355 https://doi.org/10.1007/s11355-012-0202-7 text/html Onlinezugriff via DOI 1 research-article jats NATIONALLICENCE 856 40 https://doi.org/10.1007/s11355-012-0202-7 text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Takahashi Kazuyuki Graduate School of Informatics, Tokyo University of Information Sciences, 4-1 Onaridai, Wakaba-ku, 265-8501, Chiba, Japan aut NATIONALLICENCE 700 1- Kamagata Noritoshi Kokusai Kogyo Co. Ltd, 2-24-1 Harumicho, 183-0057, Fuchu, Tokyo, Japan aut NATIONALLICENCE 700 1- Hara Keitarou Department of Environmental Information, Tokyo University of Information Sciences, 4-1 Onaridai, Wakaba-ku, 265-8501, Chiba, Japan aut NATIONALLICENCE 773 0- Landscape and Ecological Engineering Springer Japan 9/2(2013-07-01), 239-247 1860-1871 9:2<239 2013 9 11355 Metadata rights reserved Springer special CC-BY-NC licence nationallicence BK010053 XK010053 XK010000 NATIONALLICENCE NATIONALLICENCE NL-springer