{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,9,8]],"date-time":"2024-09-08T11:57:42Z","timestamp":1725796662984},"publisher-location":"Cham","reference-count":27,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783319091433"},{"type":"electronic","value":"9783319091440"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2014]]},"DOI":"10.1007\/978-3-319-09144-0_25","type":"book-chapter","created":{"date-parts":[[2014,7,2]],"date-time":"2014-07-02T22:47:10Z","timestamp":1404341230000},"page":"360-375","source":"Crossref","is-referenced-by-count":2,"title":["A Procedure for Semi-automatic Segmentation in OBIA Based on the Maximization of a Comparison Index"],"prefix":"10.1007","author":[{"given":"Andres","family":"Auquilla","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Stien","family":"Heremans","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Pablo","family":"Vanegas","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jos","family":"Van Orshoven","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","reference":[{"key":"25_CR1","unstructured":"Hay, G., Castilla, G.: Object-based image analysis: Strengths, weaknesses, opportunities and threats (SWOT). In: Proc. 1st Int. Conf. OBIA (2006)"},{"key":"25_CR2","doi-asserted-by":"publisher","first-page":"357","DOI":"10.1016\/j.rse.2012.09.018","volume":"127","author":"I. Dronova","year":"2012","unstructured":"Dronova, I., Gong, P., Clinton, N.E., Wang, L., Fu, W., Qi, S., Liu, Y.: Landscape analysis of wetland plant functional types: The effects of image segmentation scale, vegetation classes and classification methods. Remote Sensing of Environment\u00a0127, 357\u2013369 (2012)","journal-title":"Remote Sensing of Environment"},{"key":"25_CR3","unstructured":"Gao, Y., Mas, J.: A Comparison of the Performance of Pixel Based and Object Based Classifications over Images with Various Spatial Resolutions. Online Journal of Earth Sciences (8701) (2008)"},{"issue":"6","key":"25_CR4","doi-asserted-by":"publisher","first-page":"884","DOI":"10.1016\/j.jag.2011.06.008","volume":"13","author":"T.G. Whiteside","year":"2011","unstructured":"Whiteside, T.G., Boggs, G.S., Maier, S.W.: Comparing object-based and pixel-based classifications for mapping savannas. International Journal of Applied Earth Observation and Geoinformation\u00a013(6), 884\u2013893 (2011)","journal-title":"International Journal of Applied Earth Observation and Geoinformation"},{"issue":"4","key":"25_CR5","doi-asserted-by":"publisher","first-page":"536","DOI":"10.1111\/j.1654-109X.2012.01194.x","volume":"15","author":"W. Hantson","year":"2012","unstructured":"Hantson, W., Kooistra, L., Slim, P.A.: Mapping invasive woody species in coastal dunes in the Netherlands: a remote sensing approach using LIDAR and high-resolution aerial photographs. Applied Vegetation Science\u00a015(4), 536\u2013547 (2012)","journal-title":"Applied Vegetation Science"},{"key":"25_CR6","unstructured":"Tzotsos, A., Argialas, D.: A support vector machine approach for object based image analysis. In: \u2026Conference on Object-Based Image Analysis \u2026(Negnevitsky) (2006)"},{"issue":"7","key":"25_CR7","first-page":"799","volume":"72","author":"Q. Yu","year":"2006","unstructured":"Yu, Q., Gong, P., Clinton, N.: Object-based detailed vegetation classification with airborne high spatial resolution remote sensing imagery. \u2026Remote Sensing\u00a072(7), 799\u2013811 (2006)","journal-title":"\u2026Remote Sensing"},{"key":"25_CR8","doi-asserted-by":"crossref","unstructured":"Navulur, K.: Multispectral Image Analysis Using the Object-Oriented Paradigm. CRC Press (2007)","DOI":"10.1201\/9781420043075"},{"key":"25_CR9","unstructured":"Blaschke, T.: Object-based contextual image classification built on image segmentation. Advances in Techniques for Analysis of Remotely \u202600(C) (2003)"},{"key":"25_CR10","unstructured":"Baatz, M., Sch\u00e4pe, A.: Multiresolution segmentation: an optimization approach for high quality multi-scale image segmentation. Angewandte Geographische \u2026(2000)"},{"key":"25_CR11","unstructured":"Trimble: eCognition Developer 8.8 Reference Book (2012)"},{"key":"25_CR12","unstructured":"Trimble: eCognition Developer 8.8 User Guide (2012)"},{"issue":"4","key":"25_CR13","doi-asserted-by":"publisher","first-page":"187","DOI":"10.1080\/01431161003743173","volume":"1","author":"D. Liu","year":"2010","unstructured":"Liu, D., Xia, F.: Assessing object-based classification: advantages and limitations. Remote Sensing Letters\u00a01(4), 187\u2013194 (2010)","journal-title":"Remote Sensing Letters"},{"issue":"3","key":"25_CR14","doi-asserted-by":"publisher","first-page":"311","DOI":"10.1016\/j.jag.2006.10.002","volume":"9","author":"M. M\u00f6ller","year":"2007","unstructured":"M\u00f6ller, M., Lymburner, L., Volk, M.: The comparison index: A tool for assessing the accuracy of image segmentation. International Journal of Applied Earth Observation and Geoinformation\u00a09(3), 311\u2013321 (2007)","journal-title":"International Journal of Applied Earth Observation and Geoinformation"},{"key":"25_CR15","doi-asserted-by":"publisher","first-page":"69","DOI":"10.1080\/713811742","volume":"17","author":"M. Gahegan","year":"2003","unstructured":"Gahegan, M.: Is inductive machine learning just another wild goose (or might it lay the golden egg)? International Journal of Geographical Information Science\u00a017, 69\u201392 (2003)","journal-title":"International Journal of Geographical Information Science"},{"key":"25_CR16","unstructured":"Atkinson, P.M., Tatnall, A.R.L.: Introduction Neural networks in remote sensing. International Journal of Remote Sensing, 37\u201341 (2010, October 2012)"},{"issue":"8","key":"25_CR17","doi-asserted-by":"publisher","first-page":"1778","DOI":"10.1109\/TGRS.2004.831865","volume":"42","author":"F. Melgani","year":"2004","unstructured":"Melgani, F., Bruzzone, L.: Classification of hyperspectral remote sensing images with support vector machines. IEEE Transactions on Geoscience and Remote Sensing\u00a042(8), 1778\u20131790 (2004)","journal-title":"IEEE Transactions on Geoscience and Remote Sensing"},{"key":"25_CR18","first-page":"273","volume":"297","author":"C. Cortes","year":"1995","unstructured":"Cortes, C., Vapnik, V.: Support-vector networks. Machine Learning\u00a0297, 273\u2013297 (1995)","journal-title":"Machine Learning"},{"issue":"4","key":"25_CR19","doi-asserted-by":"publisher","first-page":"473","DOI":"10.1016\/j.isprsjprs.2011.02.006","volume":"66","author":"B. Johnson","year":"2011","unstructured":"Johnson, B., Xie, Z.: Unsupervised image segmentation evaluation and refinement using a multi-scale approach. ISPRS Journal of Photogrammetry and Remote Sensing\u00a066(4), 473\u2013483 (2011)","journal-title":"ISPRS Journal of Photogrammetry and Remote Sensing"},{"key":"25_CR20","unstructured":"QuantumGIS: Quantumgis (August 2013), \n                    \n                      http:\/\/www.qgis.org\/"},{"key":"25_CR21","unstructured":"scikit learn: scikit-learn (August 2013), \n                    \n                      http:\/\/scikit-learn.org\/"},{"key":"25_CR22","unstructured":"Python: Python (August 2013), \n                    \n                      http:\/\/www.python.org\/about\/"},{"key":"25_CR23","unstructured":"PostgresSQL: Postgressql (August 2013), \n                    \n                      http:\/\/www.postgresql.org\/docs\/9.2\/interactive\/index.html"},{"key":"25_CR24","unstructured":"PostGIS: Postgis (August 2013), \n                    \n                      http:\/\/postgis.net\/"},{"issue":"3-4","key":"25_CR25","doi-asserted-by":"publisher","first-page":"239","DOI":"10.1016\/j.isprsjprs.2003.10.002","volume":"58","author":"U.C. Benz","year":"2004","unstructured":"Benz, U.C., Hofmann, P., Willhauck, G., Lingenfelder, I., Heynen, M.: Multi-resolution, object-oriented fuzzy analysis of remote sensing data for GIS-ready information. ISPRS Journal of Photogrammetry and Remote Sensing\u00a058(3-4), 239\u2013258 (2004)","journal-title":"ISPRS Journal of Photogrammetry and Remote Sensing"},{"issue":"14","key":"25_CR26","doi-asserted-by":"publisher","first-page":"2953","DOI":"10.1080\/01431160500057764","volume":"26","author":"Q. Zhan","year":"2005","unstructured":"Zhan, Q., Molenaar, M.: Quality assessment for geo-spatial objects derived from remotely sensed data. \u2026Journal of Remote Sensing\u00a026(14), 2953\u20132974 (2005)","journal-title":"\u2026Journal of Remote Sensing"},{"issue":"3","key":"25_CR27","doi-asserted-by":"publisher","first-page":"247","DOI":"10.1016\/j.isprsjprs.2010.11.001","volume":"66","author":"G. Mountrakis","year":"2011","unstructured":"Mountrakis, G., Im, J., Ogole, C.: Support vector machines in remote sensing: A review. ISPRS Journal of Photogrammetry and Remote Sensing\u00a066(3), 247\u2013259 (2011)","journal-title":"ISPRS Journal of Photogrammetry and Remote Sensing"}],"container-title":["Lecture Notes in Computer Science","Computational Science and Its Applications \u2013 ICCSA 2014"],"original-title":[],"link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-319-09144-0_25","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,5,27]],"date-time":"2019-05-27T02:04:12Z","timestamp":1558922652000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-319-09144-0_25"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2014]]},"ISBN":["9783319091433","9783319091440"],"references-count":27,"URL":"https:\/\/doi.org\/10.1007\/978-3-319-09144-0_25","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2014]]}}}