Automatic cloud detection for high resolution satellite stereo images and its application in terrain extraction

Champion, 2012, Automatic cloud detection from multi-temporal satellite images:towards the use of PLÉIADES time series, Int. Arch. Photogram., Rem. Sens. Spatial Inform. Sci., 559, 10.5194/isprsarchives-XXXIX-B3-559-2012 d’Angelo, 2010, Image matching and outlier removal for large scale DSM generation d’Angelo, 2012, Dense multi-view stereo from satellite imagery, IEEE Int. Geosci. Rem. Sens. Symp., 6944 Denis, 2007, ATSR-2 camera models for the automated stereo photogrammetric retrieval of cloud-top heights—initial assessments, Int. J. Rem. Sens., 28, 1939, 10.1080/01431160600641723 Derrien, 2010, Improvement of cloud detection near sunrise and sunset by temporal-differencing and region-growing techniques with real-time SEVIRI, Int. J. Rem. Sens., 31, 1765, 10.1080/01431160902926632 Dinchang, 2008, Automatic cloud removal from multi-temporal SPOT images, Appl. Math. Comput., 205, 584, 10.1016/j.amc.2008.05.050 Gabarda, 2007, Cloud covering denoising through image fusion, Image Vis. Comput., 25, 523, 10.1016/j.imavis.2006.03.007 Gao, 2003, Detection of high clouds in polar regions during the daytime using the MODIS 1.375-μm channel, IEEE Trans. Geosci. Rem. Sens., 41, 474, 10.1109/TGRS.2002.808290 Gonçalves, 2008, Orientation and DEM extraction from ALOS PRISM images using the SRTM DEM as ground control, Int. Arch. Photogram., Rem. Sens. Spatial Inform. Sci., 1177 Gonçalves, 2007, Automatic ortho-rectification of ASTER images by matching digital elevation models, 1265 Gonzalez, 2002 Grün, 2000 Hagolle, 2010, A multi-temporal method for cloud detection, applied to FORMOSAT-2, VENμS, LANDSAT and SENTINEL-2 images, Rem. Sens. Environ., 114, 1747, 10.1016/j.rse.2010.03.002 Hau, 2008, The efficient of automatic classification result by using different cloud detection and diminution method, Int. Arch. Photogram., Rem. Sens. Spatial Inform. Sci., 607 Hirschmuller, 2005, Accurate and efficient stereo processing by semi-global matching and mutual information, IEEE Computer Society Conference on Computer Vision and Pattern Recognition IEEE, 807 Hirschmuller, 2008, Stereo processing by semiglobal matching and mutual information, IEEE Trans. Pattern Anal. Mach. Intell., 30, 328, 10.1109/TPAMI.2007.1166 Hughes, 2014, Automated detection of cloud and cloud shadow in single-date Landsat imagery using neural networks and spatial post-processing, Rem. Sens., 6, 4907, 10.3390/rs6064907 Irish, 2000, Landsat 7 automatic cloud cover assessment, 348 Jang, 2006, Neural network application for cloud detection in SPOT VEGETATION images, Int. J. Rem. Sens., 27, 719, 10.1080/01431160500106892 Jedlovec, 2009 Jin, 2013, Automated cloud and shadow detection and filling using two-date Landsat imagery in the USA, Int. J. Rem. Sens., 34, 1540, 10.1080/01431161.2012.720045 Krauß, 2005, DEM generation from very high resolution stereo data in urban areas, Int. Arch. Photogram., Rem. Sens. Spatial Inform. Sci. Krauß, 2005, DEM generation from very high resolution stereo satellite data in urban areas using dynamic programming, Int. Arch. Photogram., Rem. Sens. Spatial Inform. Sci. Kubo, 2001, Extraction of clouds from satellite imagery in the Antarctic using wavelet transform and Mahalanobis classifier, IEEE Int. Geosci. Rem. Sens. Symp., 2158 Laban, 2012, Spatial cloud detection and retrieval system for satellite images, Int. J. Adv. Comput. Sci. Appl., 3, 212 Le Hégarat-Mascle, 2009, Use of Markov random fields for automatic cloud/shadow detection on high resolution optical images, ISPRS J. Photogram. Rem. Sens., 64, 351, 10.1016/j.isprsjprs.2008.12.007 Liang, 2001, Atmospheric correction of Landsat ETM+ land surface imagery. I. Methods, IEEE Trans. Geosci. Rem. Sens., 39, 2490, 10.1109/36.964986 Liang, 2002, Atmospheric correction of Landsat ETM+ land surface imagery. II. Validation and applications, IEEE Trans. Geosci. Rem. Sens., 40, 2736, 10.1109/TGRS.2002.807579 Liew, 1998, “Cloud-free” multi-scene mosaics of SPOT images, 1083 Liu, 2013, Verification and analysis of positioning accuracy of RPC model of TH-1 three-line imagery Lu, 2013, Estimation of transformation parameters between centre-line vector road maps and high resolution satellite images, Photogram. Rec., 28, 130, 10.1111/phor.12015 Manizade, 2006, Stereo cloud heights from multispectral IR imagery via region-of-interest segmentation, Geosci. Rem. Sens., IEEE Trans. on, 44, 2481, 10.1109/TGRS.2006.873339 Marais, 2011, An optimal image transform for threshold-based cloud detection using heteroscedastic discriminant analysis, Int. J. Rem. Sens., 32, 1713, 10.1080/01431161003621619 Marchand, 2010, A review of cloud top height and optical depth histograms from MISR, ISCCP, and MODIS, J. Geophys. Res.: Atmos., 1984–2012, 115 Marchand, 2007, An assessment of Multiangle Imaging Spectroradiometer (MISR) stereo-derived cloud top heights and cloud top winds using ground-based radar, lidar, and microwave radiometers, J. Geophys. Res.: Atmos., 1984–2012, 112 Martz, 1992, Numerical definition of drainage network and subcatchment areas from Digital Elevation Models, Comput. Geosci., 18, 747, 10.1016/0098-3004(92)90007-E Muller, 2007, Stereo cloud-top heights and cloud fraction retrieval from ATSR-2, Int. J. Rem. Sens., 28, 1921, 10.1080/01431160601030975 Nagashima, 2006, A subpixel image matching technique using phase-only correlation, Int. Symp. Intell. Signal Process. Commun., IEEE, 701 Naud, 2006, Assessment of multispectral ATSR2 stereo cloud-top height retrievals, Rem. Sens. Environ., 104, 337, 10.1016/j.rse.2006.05.008 Naud, 2002, Comparison of cloud top heights derived from MISR stereo and MODIS CO2‐slicing, Geophys. Res. Lett., 29, 10.1029/2002GL015460 Ning, 2012, Development and research comprehensive report of 2011–2012 Surveying and Mapping, Sci. Survey. Mapping, 37, 1 O’Callaghan, 1984, The extraction of drainage networks from digital elevation data, Comput. Vision, Graphics, Image Process., 28, 323, 10.1016/S0734-189X(84)80011-0 Otsu, 1975, A threshold selection method from gray-level histograms, Automatica, 11, 23 Panem, 2005, Automatic cloud detection on high resolution images, IEEE Int. Geosc. Rem. Sens. Symp., 506 Seiz, 2003 Soille, 2008, IMAGE-2006 Mosaic: SPOT-HRVIR and IRS-LISSIII Cloud Detection Toutin, 2004, DSM generation and evaluation from QuickBird stereo imagery with 3D physical modelling, Int. J. Rem. Sens., 25, 5181, 10.1080/01431160410001726030 Wang, Y., Wang, W., Yang, L., Liang, H., 2013. Two-stage algorithm for cloud detection with ZY-1 02C multi-spectral measurements. In: Proc. SPIE 8890, Remote Sensing of Clouds and the Atmosphere XVIII; and Optics in Atmospheric Propagation and Adaptive Systems XVI, pp. 889012–889011. Wang, Z., Jin, J., Liang, J., Yan, K., Peng, Q., 2005. A new cloud removal algorithm for multi-spectral images, Proc. SPIE 6043, MIPPR 2005: SAR and Multispectral Image Processing. International Society for Optics and Photonics, pp. 60430W–60430W-60411. Watmough, 2011, A combined spectral and object-based approach to transparent cloud removal in an operational setting for Landsat ETM+, Int. J. Appl. Earth Obs. Geoinf., 13, 220, 10.1016/j.jag.2010.11.006 Xu, 2013, Generating DEM of very narrow baseline stereo using multispectral images Zhang, 2009, An improved approach for DSM generation from high-resolution satellite imagery, J. Spatial Sci., 54, 1, 10.1080/14498596.2009.9635175 Zhang, 2004, Automatic DSM generation from linear array imagery data, Int. Arch. Photogram., Rem. Sens. Spatial Inform. Sci., 35, 128 Zhang, 2006, Multi-image matching for DSM generation from IKONOS imagery, ISPRS J. Photogram. Rem. Sens., 60, 195, 10.1016/j.isprsjprs.2006.01.001 Zhang, 2014, Cloud detection of RGB color aerial photographs by progressive refinement scheme, Geosci. Rem. Sens., IEEE Trans. on, 52, 7264, 10.1109/TGRS.2014.2310240 Zhang, 2002, An image transform to characterize and compensate for spatial variations in thin cloud contamination of Landsat images, Rem. Sens. Environ., 82, 173, 10.1016/S0034-4257(02)00034-2 Zong, 2002, Photogrammetric retrieval of cloud advection and top height from the Multi-angle Imaging SpectroRadiometer (MISR), Photogram. Eng. Rem. Sens., 68, 821