Scale-variable region-merging for high resolution remote sensing image segmentation

Achanta, 2012, SLIC superpixels compared to state-of-the-art superpixel methods, IEEE Trans. Pattern Anal. Mach. Intel., 34, 2274, 10.1109/TPAMI.2012.120 Baatz, 2000, Multiresolution segmentation - an optimization approach for high quality multi-scale image segmentation, Angewandte Geographische InformationsVerarbeitung XII, 12 Beaulieu, 1989, Hierarchy in picture segmentation: a step-wise optimization approach, IEEE Trans. Pattern Anal. Mach. Intel., 11, 150, 10.1109/34.16711 Benz, 2004, Multiresolution, object-oriented fuzzy analysis of remote sensing data for GIS-ready information, ISPRS J. Photogramm. Remote Sens., 58, 239, 10.1016/j.isprsjprs.2003.10.002 Benedek, 2015, Multilayer Markov Random Field models for change detection in optical remote sensing images, ISPRS J. Photogramm. Remote Sens., 107, 22, 10.1016/j.isprsjprs.2015.02.006 Blaschke, 2010, Object-based image analysis for remote sensing, ISPRS J. Photogramm. Remote Sens., 65, 2, 10.1016/j.isprsjprs.2009.06.004 Blaschke, 2014, Geographic object-based image analysis towards a new paradigm, ISPRS J. Photogramm. Remote Sens., 87, 180, 10.1016/j.isprsjprs.2013.09.014 Chen, 2015, Image segmentation based on constrained spectral variance difference and edge penalty, Remote Sens., 7, 5980, 10.3390/rs70505980 Dragut, 2010, ESP: A tool to estimate scale parameter for multi-resolution image segmentation of remotely sensed data, Int. J. Geograph. Inf. Sci., 24, 859, 10.1080/13658810903174803 Fu, 2013, Segmentation for high-resolution optical remote sensing imagery using improved quadtree and region adjacency graph technique, Remote Sens., 5, 3259, 10.3390/rs5073259 Fu, 2018, Multi-scale and multi-feature segmentation of high-spatial resolution remote sensing images using superpixels with mutual optimal strategy, Remote Sens., 10, 1289, 10.3390/rs10081289 Gaetano, 2015, Marker-controlled watershed-based segmentation of multi-resolution remote sensing images, IEEE Trans. Geosci. Remote Sens., 53, 2987, 10.1109/TGRS.2014.2367129 Hu, 2018, Stepwise evolution analysis of the region-merging segmentation for scale parameterization, IEEE J. Selec. Topic. Appl. Earth Observ. Remote Sens., 11, 2461, 10.1109/JSTARS.2018.2833102 Jasiewicz, J., Stepinski, T., Niesterowicz, J., 2018. Multi-scale segmentation algorithm for pattern-based partitioning of large categorical rasters. https://doi.org/10.17605/OSF.IO/SMVA7. Johnson, 2011, Unsupervised image segmentation evaluation and refinement using a multi-scale approach, ISPRS J. Photogramm. Remote Sens., 66, 473, 10.1016/j.isprsjprs.2011.02.006 Lassalle, 2015, A scalable tile-based framework for region-merging segmentation, IEEE Trans. Geosci. Remote Sens., 53, 5473, 10.1109/TGRS.2015.2422848 Liu, 2010, Assessing object-based classification: advantages and limitations, Remote Sens. Lett., 1, 187, 10.1080/01431161003743173 Liu, 2017, Scale computation on high spatial resolution remotely sensed imagery multi-scale segmentation, Int. J. Remote Sens., 38, 5186, 10.1080/01431161.2017.1325536 Liu, 2018, A segmentation method for high spatial resolution remote sensing images based on the fusion of multifeatures, IEEE Geosci. Remote Sens. Lett., 15, 1274, 10.1109/LGRS.2018.2829807 Liu, J., Pu, H., Song, S., Du, M., 2018b. An adaptive scale estimating method of multiscale image segmentation based on vector edge and spectral statistics information. Int. J. Remote Sens. DOI: 10.1080/01431161.2018.1466077. Lv, 2018, Landslide inventory mapping from bitemporal high-resolution remote sensing images using change detection and multiscale segmentation, IEEE J. Selec. Topic. Appl. Earth Observ. Remote Sens., 11, 1520, 10.1109/JSTARS.2018.2803784 Löw, 2015, Analysis of uncertainty in multi-temporal object-based classification, ISPRS J. Photogramm. Remote Sens., 105, 91, 10.1016/j.isprsjprs.2015.03.004 Marmanis, 2018, Classification with an edge: Improving semantic image segmentation with boundary detection, ISPRS J. Photogramm. Remote Sens., 135, 158, 10.1016/j.isprsjprs.2017.11.009 Su, 2016, Efficient paddy field mapping using Landsat-8 imagery and object-based image analysis based on advanced fractel net evolution approach, GIsci. Remote Sens., 54, 354, 10.1080/15481603.2016.1273438 Su, 2015, Image segmentation using mean shift for extracting croplands from high-resolution remote sensing imagery, Remote Sens. Lett., 6, 952, 10.1080/2150704X.2015.1093188 Su, 2017, Local and global evaluation for remote sensing image segmentation, ISPRS J. Photogramm. Remote Sens., 130, 256, 10.1016/j.isprsjprs.2017.06.003 Tilton, 2012, Best merge region-growing segmentation with integrated nonadjacent region object aggregation, IEEE Trans. Geosci. Remote Sens., 50, 4454, 10.1109/TGRS.2012.2190079 Wang, 2018, Optimal segmentation of high-resolution remote sensing image by combining superpixels with the minimum spanning tree, IEEE Trans. Geosci. Remote Sens., 56, 228, 10.1109/TGRS.2017.2745507 Wang, 2018, Region merging considering within- and between-segment heterogeneity: an improved hybrid remote-sensing image segmentation method, Remote Sens., 10, 781, 10.3390/rs10050781 Yang, 2015, An automated method to parameterize segmentation scale by enhancing intrasegment homogeneity and intersegment heterogeneity, IEEE Geosci. Remote Sens. Lett., 12, 1282, 10.1109/LGRS.2015.2393255 Yang, 2014, A multi-band approach to unsupervised scale parameter selection for multi-scale image segmentation, ISPRS J. Photogramm. Remote Sens., 94, 13, 10.1016/j.isprsjprs.2014.04.008 Yang, 2017, Region merging using local spectral angle thresholds: a more accurate method for hybrid segmentation of remote sensing images, Remote Sens. Environ., 190, 137, 10.1016/j.rse.2016.12.011 Yu, 2018, Semantic segmentation for high spatial resolution remote sensing images based on convolution neural network and pyramid pooling module, IEEE J. Selec Topic. Appl. Earth Observ. Remote Sens., 11, 3252, 10.1109/JSTARS.2018.2860989 Yu, 2013, Context-based hierarchical unequal merging for SAR image segmentation, IEEE Trans. Geosci. Remote Sens., 51, 995, 10.1109/TGRS.2012.2203604 Zanotta, 2018, A supervised approach for simultaneous segmentation and classification of remote sensing images, ISPRS J. Photogramm. Remote Sens., 142, 162, 10.1016/j.isprsjprs.2018.05.021 Zhang, 2014, Hybrid region merging method for segmentation of high-resolution remote sensing images, ISPRS J. Photogramm. Remote Sens., 98, 19, 10.1016/j.isprsjprs.2014.09.011 Zhang, 2013, Boundary-constrained multi-scale segmentation method for remote sensing images, ISPRS J. Photogramm. Remote Sens., 85, 15, 10.1016/j.isprsjprs.2013.01.002 Zhou, 2017, Adaptive scale selection for multi-scale segmentation of satellite images, IEEE J. Selec. Topic. Appl. Earth Observ. Remote Sens., 10, 3641, 10.1109/JSTARS.2017.2693993