Integrating fuzzy object based image analysis and ant colony optimization for road extraction from remotely sensed images

Alshehhi, 2017, Hierarchical graph-based segmentation for extracting road networks from high-resolution satellite images, ISPRS J. Photogramm. Remote Sens., 126, 245, 10.1016/j.isprsjprs.2017.02.008 Alshehhi, 2017, Simultaneous extraction of roads and buildings in remote sensing imagery with convolutional neural networks, ISPRS J. Photogramm. Remote Sens., 130, 139, 10.1016/j.isprsjprs.2017.05.002 Ameri, 2016, Multi-criteria, graph-based road centerline vectorization using ordered weighted averaging operators, Photogramm. Eng. Remote Sens., 82, 107, 10.14358/PERS.82.2.107 Amini, 2002, Fuzzy logic system for road identification using Ikonos images, Photogram. Rec., 17, 493, 10.1111/0031-868X.00201 Baatz, 2000, Multiresolution Segmentation: an optimization approach for high quality multi-scale image segmentation, 12 Bae, 2015, Automatic road extraction from remote sensing images based on a normalized second derivative map, IEEE Geosci. Remote Sens. Lett., 12, 1858, 10.1109/LGRS.2015.2431268 Belgiu, 2014, Quantitative evaluation of variations in rule-based classifications of land cover in urban neighbourhoods using WorldView-2 imagery, ISPRS J. Photogramm. Remote Sens., 87, 205, 10.1016/j.isprsjprs.2013.11.007 Cheng, 2016, Urban road extraction from combined data sets of high-resolution satellite imagery and lidar data using GEOBIA, 283 Cheng, 2016, Accurate urban road centerline extraction from VHR imagery via multiscale segmentation and tensor voting, Neurocomputing, 205, 407, 10.1016/j.neucom.2016.04.026 Cheng, 2016, Road centerline extraction via semisupervised segmentation and multidirection nonmaximum suppression, IEEE Geosci. Remote Sens. Lett., 13, 545, 10.1109/LGRS.2016.2524025 Courtrai, 2016, Morphological path filtering at the region scale for efficient and robust road network extraction from satellite imagery, Pattern Recogn. Lett., 10.1016/j.patrec.2016.05.014 Das, 2011, Use of salient features for the design of a multistage framework to extract roads from high-resolution multispectral satellite images, IEEE Trans. Geosci. Remote Sens., 49, 3906, 10.1109/TGRS.2011.2136381 “digitalglobe website.” [Online]. Available: https://www.digitalglobe.com/. Drǎguţ, 2014, Automated parameterisation for multi-scale image segmentation on multiple layers, ISPRS J. Photogramm. Remote Sens., 88, 119, 10.1016/j.isprsjprs.2013.11.018 Engelbrecht, 2007 Frizzelle, 2009, The importance of accurate road data for spatial applications in public health: customizing a road network, Int. J. Health Geographics, 8, 24, 10.1186/1476-072X-8-24 Garibaldi, J.M., John, R.I., 2003. Choosing membership functions of linguistic terms. In: The 12th IEEE International Conference on Fuzzy Systems, 2003. FUZZ ’03, vol. 1, pp. 578–583. Grinias, 2016, MRF-based segmentation and unsupervised classification for building and road detection in peri-urban areas of high-resolution satellite images, ISPRS J. Photogramm. Remote Sens., 122, 145, 10.1016/j.isprsjprs.2016.10.010 Grote, 2012, Road network extraction in suburban areas, Photogram. Rec., 27, 8, 10.1111/j.1477-9730.2011.00670.x Hadavand, 2017, Segmentation parameter selection for object-based land-cover mapping from ultra high resolution spectral and elevation data, Int. J. Remote Sens., 38, 3586, 10.1080/01431161.2017.1302107 Haralick, 1992 He, 2013, Guided image filtering, IEEE Trans. Pattern Anal. Mach. Intell., 35, 1397, 10.1109/TPAMI.2012.213 Hedman, 2010, Road network extraction in VHR SAR images of urban and suburban areas by means of class-aided feature-level fusion, IEEE Trans. Geosci. Remote Sens., 48, 1294, 10.1109/TGRS.2009.2025123 Hofmann, 2008, Detecting informal settlements from QuickBird data in Rio de Janeiro using an object based approach, 531 Hofmann, 2011, Quantifying the robustness of fuzzy rule sets in object-based image analysis, Int. J. Remote Sens., 32, 7359, 10.1080/01431161.2010.523727 Hu, 2005, A reliable and fast ribbon road detector using profile analysis and model-based verification, Int. J. Remote Sens., 26, 887, 10.1080/0143116042000298243 Hu, 2011, Impervious surface area extraction from IKONOS imagery using an object-based fuzzy method, Geocarto Int., 26, 3, 10.1080/10106049.2010.535616 Hu, 2007, Road network extraction and intersection detection from aerial images by tracking road footprints, IEEE Trans. Geosci. Remote Sens., 45, 4144, 10.1109/TGRS.2007.906107 Huang, 2009, Road centreline extraction from high resolution imagery based on multiscale structural features and support vector machines, Int. J. Remote Sens., 30, 1977, 10.1080/01431160802546837 ISPRS, “data sets collection.” [Online]. Available: http://www.isprs.org/data/ikonos_hobart/default.aspx (Accessed: 17-Jul-2015). Jabari, 2013, Very high resolution satellite image classification using fuzzy rule-based systems, Algorithms, 6, 762, 10.3390/a6040762 Jin, 2011 Jin, 2005, An integrated system for automatic road mapping from high-resolution multi-spectral satellite imagery by information fusion, Informat. Fusion, 6, 257, 10.1016/j.inffus.2004.06.003 Khesali, 2015, Semi automatic road extraction by fusion of high resolution optical and radar images, J. Indian Soc. Remote Sens., 44, 21, 10.1007/s12524-015-0480-2 Kohli, 2013, Transferability of object-oriented image analysis methods for slum identification, Remote Sensing, 5, 4209, 10.3390/rs5094209 Li, 2009, Semi-automatic Road extraction from high-resolution remote sensing image: Review and prospects, vol. 1, 204 Li, 2016, Region-based urban road extraction from VHR satellite images using Binary Partition Tree, Int. J. Appl. Earth Obs. Geoinf., 44, 217, 10.1016/j.jag.2015.09.005 Liu, 2017, Road detection by using a generalized hough transform, Remote Sensing, 9, 590, 10.3390/rs9060590 Long, 2005, Urban road extraction from high-resolution optical satellite images, Int. J. Remote Sens., 26, 4907, 10.1080/01431160500258966 López-Ibáñez, M., Stützle, T., Dorigo, M., 2015. Ant Colony Optimization: A Component-Wise Overview, Bruxelles, Belgium. Maboudi, 2015, Object based segmentation effect on road network extraction from satellite images Maboudi, 2016, Road network extraction from VHR satellite images using context aware object feature integration and tensor voting, Remote Sensing, 8, 637, 10.3390/rs8080637 Maboudi, M., Amini, J., Hahn, M., 2016. Objects grouping for segmentation of roads network in high resolution images of urban areas. In: XXIII ISPRS Congress – International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, vol. XLI-B7, pp. 897–902. https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLI-B7/897/2016/. Maboudi, 2017, Object-based road extraction from satellite images using ant colony optimization, Int. J. Remote Sens., 38, 179, 10.1080/01431161.2016.1264026 Mayer, 2006, A test of automatic road extraction approaches, 209 McFeeters, 1996, The use of the Normalized Difference Water Index (NDWI) in the delineation of open water features, Int. J. Remote Sens., 17, 1425, 10.1080/01431169608948714 Mena, 2005, An automatic method for road extraction in rural and semi-urban areas starting from high resolution satellite imagery, Pattern Recogn. Lett., 26, 1201, 10.1016/j.patrec.2004.11.005 Miao, 2014, Road centreline extraction from classified images by using the geodesic method, Remote Sens. Lett., 5, 367, 10.1080/2150704X.2014.907935 Miao, 2013, Road centerline extraction from high-resolution imagery based on shape features and multivariate adaptive regression splines, IEEE Geosci. Remote Sens. Lett., 10, 583, 10.1109/LGRS.2012.2214761 Miao, 2014, A method for accurate road centerline extraction from a classified image, IEEE J. Sel. Top. Appl. Earth Obs. Remote Sens., 7, 4762, 10.1109/JSTARS.2014.2309613 Miao, 2015, An object-based method for road network extraction in VHR satellite images, IEEE J. Sel. Top. Appl. Earth Obs. Remote Sens., 8, 4853, 10.1109/JSTARS.2015.2443552 Mohammadzadeh, 2006, Road extraction based on fuzzy logic and mathematical morphology from pan-sharpened IKONOS images, Photogram. Rec., 21, 44, 10.1111/j.1477-9730.2006.00353.x Mohammadzadeh, 2009, Automatic main road extraction from high resolution satellite imageries by means of particle swarm optimization applied to a fuzzy-based mean calculation approach, J. Indian Soc. Remote Sens., 37, 173, 10.1007/s12524-009-0021-y Mokhtarzade, 2007, Optimization of road detection from high-resolution satellite images using texture parameters in neural network classifiers, Can. J. Remote Sens., 33, 481, 10.5589/m07-055 Myint, 2011, Per-pixel vs. object-based classification of urban land cover extraction using high spatial resolution imagery, Remote Sens. Environ., 115, 1145, 10.1016/j.rse.2010.12.017 Nikfar, 2015, Designing a new framework using type-2 FLS and cooperative-competitive genetic algorithms for road detection from IKONOS satellite imagery, Remote Sensing, 7, 8271, 10.3390/rs70708271 “OpenStreetMap website.” [Online]. Available: http://www.openstreetmap.org. Poullis, 2014, Tensor-Cuts: A simultaneous multi-type feature extractor and classifier and its application to road extraction from satellite images, ISPRS J. Photogramm. Remote Sens., 95, 93, 10.1016/j.isprsjprs.2014.06.006 Quackenbush, 2013, Road extraction: A review of LiDAR-focused studies, 155 Saati, 2017, Road network extraction from high-resolution SAR imagery based on the network snake model, Photogramm. Eng. Remote Sens., 83, 207, 10.14358/PERS.83.3.207 Saati, 2015, A method for automatic road extraction of high resolution SAR imagery, J. Indian Soc. Remote Sens., 43, 697, 10.1007/s12524-015-0454-4 Saba, 2016, Optimization of multiresolution segmentation for object-oriented road detection from high-resolution images, Can. J. Remote Sens., 42, 75, 10.1080/07038992.2016.1160770 Sameen, 2017, A two-stage optimization strategy for fuzzy object-based analysis using airborne LiDAR and high-resolution orthophotos for urban road extraction, J. Sensors, 2017, 1, 10.1155/2017/6431519 Sebari, 2013, Automatic fuzzy object-based analysis of VHSR images for urban objects extraction, ISPRS J. Photogramm. Remote Sens., 79, 171, 10.1016/j.isprsjprs.2013.02.006 Shi, 2014, An integrated method for urban main-road centerline extraction from optical remotely sensed imagery, IEEE Trans. Geosci. Remote Sens., 52, 3359, 10.1109/TGRS.2013.2272593 Sirmacek, 2010, Road Network Extraction Using Edge Detection and Spatial Voting, 3113 Sironi, 2016, Multiscale centerline detection, IEEE Trans. Pattern Anal. Mach. Intell., 38, 1327, 10.1109/TPAMI.2015.2462363 Stützle, 2012, Parameter adaptation in ant colony optimization, 191 Sun, 2013, Knowledge-based automated road network extraction system using multispectral images, Opt. Eng., 52, 47203, 10.1117/1.OE.52.4.047203 Tiwari, 2010, Exploiting IKONOS and Hyperion data fusion for automated road extraction, Geocarto Int., 25, 123, 10.1080/10106040903180485 Toth, 2015, Remote sensing platforms and sensors: A survey, ISPRS J. Photogramm. Remote Sens., 115, 22, 10.1016/j.isprsjprs.2015.10.004 Tunde, 2012, Impact of road transport on agricultural development: A Nigerian example, Ethiopian J. Environ. Stud. Manage., 5, 232, 10.4314/ejesm.v5i3.3 Ünsalan, 2012, Road network detection using probabilistic and graph theoretical methods, IEEE Trans. Geosci. Remote Sens., 50, 4441, 10.1109/TGRS.2012.2190078 Wang, 2016, A new approach to urban road extraction using high-resolution aerial image, ISPRS Int. J. Geo-Inf., 5, 114, 10.3390/ijgi5070114 Wang, 2016, A review of road extraction from remote sensing images, J. Traffic Transport. Eng., 3, 271 Weng, 2012, Remote sensing of impervious surfaces in the urban areas: Requirements, methods, and trends, Remote Sens. Environ., 117, 34, 10.1016/j.rse.2011.02.030 Wiedemann, 2000, Automatic completion and evaluation of road networks, International Archives of Photogrammetry and Remote Sensing, vol. XXXIII, 979 Wiedemann, 1998, Empirical evaluation of automatically extracted road axes, 172 Yang, 2013 Yin, 2015, A direction-guided ant colony optimization method for extraction of urban road information from very-high-resolution images, IEEE J. Sel. Top. Appl. Earth Obs. Remote Sens., 8, 4785, 10.1109/JSTARS.2015.2477097 Zadeh, 2015, Fuzzy logic—a personal perspective, Fuzzy Sets Syst., 281, 4, 10.1016/j.fss.2015.05.009 Zarrinpanjeh, 2013, A new ant based distributed framework for urban road map updating from high resolution satellite imagery, Comput. Geosci., 54, 337, 10.1016/j.cageo.2012.12.006 Zhang, 2006, Benefit of the angular texture signature for the separation of parking lots and roads on high resolution multi-spectral imagery, Pattern Recogn. Lett., 27, 937, 10.1016/j.patrec.2005.12.003 Zhang, 2011, Semi-automatic road tracking by template matching and distance transformation in urban areas, Int. J. Remote Sens., 32, 8331, 10.1080/01431161.2010.540587 Zhang, 2016, Road extraction and intersection detection based on tensor voting, 1587 Zhang, 2017, Road recognition from remote sensing imagery using incremental learning, IEEE Trans. Intell. Transp. Syst., 1 Zhou, 2006, Road tracking in aerial images based on human–computer interaction and Bayesian filtering, ISPRS J. Photogramm. Remote Sens., 61, 108, 10.1016/j.isprsjprs.2006.09.002 Ziems, 2017, Verification of road databases using multiple road models, ISPRS J. Photogramm. Remote Sens., 130, 44, 10.1016/j.isprsjprs.2017.05.005