A comparison of unsupervised segmentation parameter optimization approaches using moderate- and high-resolution imagery
暂无分享,去创建一个
[1] Shihong Du,et al. Mining parameter information for building extraction and change detection with very high-resolution imagery and GIS data , 2017 .
[2] Isao Endo,et al. Image Segmentation Parameter Optimization Considering Within- and Between-Segment Heterogeneity at Multiple Scale Levels: Test Case for Mapping Residential Areas Using Landsat Imagery , 2015, ISPRS Int. J. Geo Inf..
[3] Le Wang,et al. An object-based SVM method incorporating optimal segmentation scale estimation using Bhattacharyya Distance for mapping salt cedar (Tamarisk spp.) with QuickBird imagery , 2015 .
[4] Xueliang Zhang,et al. Segmentation quality evaluation using region-based precision and recall measures for remote sensing images , 2015 .
[5] F. Cánovas-García,et al. A local approach to optimize the scale parameter in multiresolution segmentation for multispectral imagery , 2015 .
[6] R. Congalton,et al. Optimal Land Cover Mapping and Change Analysis in Northeastern Oregon Using Landsat Imagery , 2015 .
[7] Mariana Belgiu,et al. Comparing supervised and unsupervised multiresolution segmentation approaches for extracting buildings from very high resolution imagery , 2014, ISPRS journal of photogrammetry and remote sensing : official publication of the International Society for Photogrammetry and Remote Sensing.
[8] Jian Yang,et al. A multi-band approach to unsupervised scale parameter selection for multi-scale image segmentation , 2014 .
[9] Xiaole Ji,et al. A novel method for assessing the segmentation quality of high-spatial resolution remote-sensing images , 2014 .
[10] Stefan W. Maier,et al. Area-based and location-based validation of classified image objects , 2014, Int. J. Appl. Earth Obs. Geoinformation.
[11] O. Csillik,et al. Automated parameterisation for multi-scale image segmentation on multiple layers , 2014, ISPRS journal of photogrammetry and remote sensing : official publication of the International Society for Photogrammetry and Remote Sensing.
[12] Lei Zhang,et al. Multi-scale segmentation approach for object-based land-cover classification using high-resolution imagery , 2014 .
[13] อนิรุธ สืบสิงห์,et al. Data Mining Practical Machine Learning Tools and Techniques , 2014 .
[14] Markku Kuitunen,et al. What makes segmentation good? A case study in boreal forest habitat mapping , 2013 .
[15] Brian Johnson,et al. Classifying a high resolution image of an urban area using super-object information , 2013 .
[16] Umberto Fratino,et al. An object-based method for mapping ephemeral river areas from WorldView-2 satellite data , 2012, Remote Sensing.
[17] Yun Zhang,et al. A Supervised and Fuzzy-based Approach to Determine Optimal Multi-resolution Image Segmentation Parameters , 2012 .
[18] Steven E. Franklin,et al. A comparison of pixel-based and object-based image analysis with selected machine learning algorithms for the classification of agricultural landscapes using SPOT-5 HRG imagery , 2012 .
[19] Bo Wang,et al. Discrepancy measures for selecting optimal combination of parameter values in object-based image analysis , 2012 .
[20] Xuezhi Feng,et al. An Unsupervised Evaluation Method for Remotely Sensed Imagery Segmentation , 2012, IEEE Geoscience and Remote Sensing Letters.
[21] Brian Johnson,et al. Unsupervised image segmentation evaluation and refinement using a multi-scale approach , 2011 .
[22] Yan Gao,et al. Optimal region growing segmentation and its effect on classification accuracy , 2011 .
[23] T. Warner,et al. Multi-scale GEOBIA with very high spatial resolution digital aerial imagery: scale, texture and image objects , 2011 .
[24] Dirk Tiede,et al. ESP: a tool to estimate scale parameter for multiresolution image segmentation of remotely sensed data , 2010, Int. J. Geogr. Inf. Sci..
[25] P. Gong,et al. Accuracy Assessment Measures for Object-based Image Segmentation Goodness , 2010 .
[26] C. Witte,et al. Comparison of geo-object based and pixel-based change detection of riparian environments using high spatial resolution multi-spectral imagery. , 2010 .
[27] Thomas Blaschke,et al. Object based image analysis for remote sensing , 2010 .
[28] Timothy A. Warner,et al. Forest Type Mapping using Object-specific Texture Measures from Multispectral Ikonos Imagery: Segmentation Quality and Image Classification Issues , 2009 .
[29] Hui Zhang,et al. Image segmentation evaluation: A survey of unsupervised methods , 2008, Comput. Vis. Image Underst..
[30] R. Platt,et al. An Evaluation of an Object-Oriented Paradigm for Land Use/Land Cover Classification , 2008 .
[31] Timothy A. Warner,et al. Estimation of optimal image object size for the segmentation of forest stands with multispectral IKONOS imagery , 2008 .
[32] Martin Volk,et al. The comparison index: A tool for assessing the accuracy of image segmentation , 2007, Int. J. Appl. Earth Obs. Geoinformation.
[33] Antônio Miguel Vieira Monteiro,et al. Parameter selection for region‐growing image segmentation algorithms using spatial autocorrelation , 2006 .
[34] P. Gong,et al. Object-based Detailed Vegetation Classification with Airborne High Spatial Resolution Remote Sensing Imagery , 2006 .
[35] R. Lathrop,et al. A Multi-scale Segmentation Approach to Mapping Seagrass Habitats Using Airborne Digital Camera Imagery , 2006 .
[36] Hélène Laurent,et al. Unsupervised Performance Evaluation of Image Segmentation , 2006, EURASIP J. Adv. Signal Process..
[37] Thomas Blaschke,et al. Image Segmentation Methods for Object-based Analysis and Classification , 2004 .
[38] Frank W. Gerlach,et al. IKONOS satellite, imagery, and products , 2003 .
[39] D. Flanders,et al. Preliminary evaluation of eCognition object-based software for cut block delineation and feature extraction , 2003 .
[40] R. Lawrence. Rule-Based Classification Systems Using Classification and Regression Tree (CART) Analysis , 2001 .
[41] M. Charlton,et al. Quantitative geography : perspectives on spatial data analysis by , 2001 .
[42] Arno Schäpe,et al. Multiresolution Segmentation : an optimization approach for high quality multi-scale image segmentation , 2000 .
[43] Terry L. Sohl,et al. Regional characterization of land cover using multiple sources of data , 1998 .
[44] Karl Korfmacher,et al. Remote sensing and GIS analysis of seagrass meadows in North Carolina, USA , 1997 .
[45] M. Shepherd. Qualitative researching: J. Mason Sage, London (1996) 192 pp. £37.50 hardback; £11.95 paperback , 1997 .
[46] C. Woodcock,et al. The factor of scale in remote sensing , 1987 .
[47] John R. Jensen,et al. Introductory Digital Image Processing: A Remote Sensing Perspective , 1986 .