Parameter evaluation and optimization for multi-resolution segmentation in object-based shadow detection using very high resolution imagery

References

• Adeline K, Chen M, Briottet X, Pang S, Paparoditis N. 2013. Shadow detection in very high spatial resolution aerial images: a comparative study. ISPRS J Photogramm Remote Sens. 80:21–38.10.1016/j.isprsjprs.2013.02.003
   Web of Science ®Google Scholar
• Arévalo V, González J, Ambrosio G. 2008. Shadow detection in colour high-resolution satellite images. Int J Remote Sens. 29:1945–1963.10.1080/01431160701395302
   Web of Science ®Google Scholar
• Baatz M, Schäpe A. 2000. Multiresolution segmentation: an optimization approach for high quality multi-scale image segmentation. Proceedings of the Angewandte Geographische Informationsverarbeitung XII, Beiträge zum AGIT-Symposium Salzburg; Karlsruhe, Germany: Wichmann Verlag.
   Google Scholar
• Benz UC, Hofmann P, Willhauck G, Lingenfelder I, Heynen M. 2004. Multi-resolution, object-oriented fuzzy analysis of remote sensing data for GIS-ready information. ISPRS J Photogramm Remote Sens. 58:239–258.10.1016/j.isprsjprs.2003.10.002
   Web of Science ®Google Scholar
• Beynon M, Curry B, Morgan P. 2000. The Dempster–Shafer theory of evidence: an alternative approach to multicriteria decision modelling. Omega. 28:37–50.10.1016/S0305-0483(99)00033-X
   Web of Science ®Google Scholar
• Blaschke T, Lang S, Lorup E, Strobl J, Zeil P. Object-oriented image processing in an integrated GIS/remote sensing environment and perspectives for environmental applications. Proceedings of the Environmental Information for Planning, Politics and the Public; 2000; Marburg, Germany: Metropolis.
   Google Scholar
• Chen Y, Wen D, Jing L, Shi P. 2007. Shadow information recovery in urban areas from very high resolution satellite imagery. Int J Remote Sens. 28:3249–3254.10.1080/01431160600954621
   Web of Science ®Google Scholar
• Chen Y, Su W, Li J, Sun Z. 2009. Hierarchical object oriented classification using very high resolution imagery and LIDAR data over urban areas. Adv Space Res. 43:1101–1110.10.1016/j.asr.2008.11.008
   Web of Science ®Google Scholar
• Chung K, Lin Y, Huang Y. 2009. Efficient shadow detection of color aerial images based on successive thresholding scheme. IEEE Trans Geosci Remote Sens. 47:671–682.10.1109/TGRS.2008.2004629
   Web of Science ®Google Scholar
• Comaniciu D, Meer P. 2002. Mean shift: a robust approach toward feature space analysis. IEEE Trans Pattern Anal Mach Intell. 24:603–619.10.1109/34.1000236
   Web of Science ®Google Scholar
• Dare PM. 2005. Shadow analysis in high-resolution satellite imagery of urban areas. Photogramm Eng Remote Sens. February 2005;71:169–177.10.14358/PERS.71.2.169
   Web of Science ®Google Scholar
• Drǎguţ L, Tiede D, Levick SR. 2010. ESP: a tool to estimate scale parameter for multiresolution image segmentation of remotely sensed data. Int J Geograph Inform Sci. 24:859–871.
   Web of Science ®Google Scholar
• Durieux L, Lagabrielle E, Nelson A. 2008. A method for monitoring building construction in urban sprawl areas using object-based analysis of Spot 5 images and existing GIS data. ISPRS J Photogramm Remote Sens. 63:399–408.10.1016/j.isprsjprs.2008.01.005
   Web of Science ®Google Scholar
• Flores De Santiago F, Kovacs JM, Lafrance P. 2013. An object-oriented classification method for mapping mangroves in Guinea, West Africa, using multipolarized ALOS PALSAR L-band data. Int J Remote Sens. 34:563–586.10.1080/01431161.2012.715773
   Web of Science ®Google Scholar
• Franek L, Jiang X. 2013. Orthogonal design of experiments for parameter learning in image segmentation. Signal Process. 93:1694–1704.10.1016/j.sigpro.2012.08.016
   Web of Science ®Google Scholar
• Gao Y, Mas JF, Kerle N, Navarrete Pacheco JA. 2011. Optimal region growing segmentation and its effect on classification accuracy. Int J Remote Sens. 32:3747–3763.10.1080/01431161003777189
   Web of Science ®Google Scholar
• Gonzales RC, Woods RE. 2006. Digital image processsing. Beijing: Publishing House of Electronics Industry.
   Google Scholar
• Guo X, Huang X, Zhang L. 2014. Three-dimensional wavelet texture feature extraction and classification for multi/hyperspectral imagery. IEEE Geosci Remote Sens Lett. 11:2183–2187.
   Web of Science ®Google Scholar
• Herman J, Kollat J, Reed P, Wagener T. 2013. Technical note: method of Morris effectively reduces the computational demands of global sensitivity analysis for distributed watershed models. Hydrol Earth Syst Sci. 17:2893–2903.10.5194/hess-17-2893-2013
   Web of Science ®Google Scholar
• Huang M-C, Tai C-C. 2001. The effective factors in the warpage problem of an injection-molded part with a thin shell feature. J Mater Process Technol. 110:1–9.10.1016/S0924-0136(00)00649-X
   Web of Science ®Google Scholar
• Huang X, Zhang L. 2008. An adaptive mean-shift analysis approach for object extraction and classification from urban hyperspectral imagery. IEEE Trans Geosci Remote Sens. 46:4173–4185.10.1109/TGRS.2008.2002577
   Web of Science ®Google Scholar
• Huang J, Xie W, Tang L. 2004. Detection of and compensation for shadows in colored urban aerial images. Proceedings of the Fifth World Congress on Intelligent Control and Automation; Jun 15–19.
   Google Scholar
• Li Y, Sasagawa T, Gong P. 2004. A system of the shadow detection and shadow removal for high resolution city aerial photo. Proceedings of the XXth ISPRS Congress.
   Google Scholar
• Li Y, Gong P, Sasagawa T. 2005. Integrated shadow removal based on photogrammetry and image analysis. Int J Remote Sens. 26:3911–3929.10.1080/01431160500159347
   Web of Science ®Google Scholar
• Li H, Zhang L, Shen H. 2014. An adaptive nonlocal regularized shadow removal method for aerial remote sensing images. IEEE Trans Geosci Remote Sens. 52:106–120.10.1109/TGRS.2012.2236562
   Web of Science ®Google Scholar
• Liu D, Xia F. 2010. Assessing object-based classification: advantages and limitations. Remote Sens Lett. 1:187–194.10.1080/01431161003743173
   Web of Science ®Google Scholar
• Liu W, Yamazaki F. 2010. Shadow extraction and correction from quickbird images. In: Proceedings of the 2010 IEEE International Geoscience and Remote Sensing Symposium (IGARSS); Jul 25–30. Piscataway (NJ): IEEE.
   Google Scholar
• Liu J, Li D, Fang T. 2012. Shadow detection for color remotely sensed images based on multi-feature integration. J Appl Remote Sens. 6:0635211–06352112.
   Web of Science ®Google Scholar
• Lorenzi L, Melgani F, Mercier G. 2012. A complete processing chain for shadow detection and reconstruction in VHR images. IEEE Trans Geosci Remote Sens. 50:3440–3452.10.1109/TGRS.2012.2183876
   Web of Science ®Google Scholar
• Luo H, Wang L, Shao Z, Li D. 2015. Development of a multi-scale object-based shadow detection method for high spatial resolution image. Remote Sens Lett. 6:59–68.10.1080/2150704X.2014.1001079
   Web of Science ®Google Scholar
• Mesner N, Oštir K. 2014. Investigating the impact of spatial and spectral resolution of satellite images on segmentation quality. J Appl Remote Sens. 8:083696–083696.10.1117/1.JRS.8.083696
   Web of Science ®Google Scholar
• Moffett KB, Gorelick SM. 2013. Distinguishing wetland vegetation and channel features with object-based image segmentation. Int J Remote Sens. 34:1332–1354.10.1080/01431161.2012.718463
   Web of Science ®Google Scholar
• Myint SW, Galletti CS, Kaplan S, Kim WK. 2013. Object vs. pixel: a systematic evaluation in urban environments. Geocarto Int. 28:657–678.10.1080/10106049.2013.776642
   Web of Science ®Google Scholar
• Nakajima T, Tao G, Yasuoka Y. 2002. Simulated recovery of information in shadow areas on IKONOS image by combing ALS data. Proceeding of Asian Conference on Remote Sensing (ACRS); Kathmandu, Nepal.
   Google Scholar
• Phong BT. 1975. Illumination for computer generated pictures. Commun ACM. 18:311–317.10.1145/360825.360839
   Web of Science ®Google Scholar
• Roy RK. 1990. A primer on the Taguchi method. New York (NY): Van Nostrand Reinhold.
   Google Scholar
• Sarabandi P, Yamazaki F, Matsuoka M, Kiremidjian A. 2004. Shadow detection and radiometric restoration in satellite high resolution images. Proceedings of the 2004 IEEE International Geoscience and Remote Sensing Symposium (IGARSS); Sep 20–24.
   Google Scholar
• Shafer G. 1976. A mathematical theory of evidence. Princeton (NJ): Princeton University Press.
   Google Scholar
• Shao Z, Liu C. 2014. The integrated use of DMSP-OLS nighttime light and MODIS data for monitoring large-scale impervious surface dynamics: a case study in the Yangtze River Delta. Remote Sens. 6:9359–9378.10.3390/rs6109359
   Web of Science ®Google Scholar
• Shao Z, Tian Y, Shen X. 2014. BASI: a new index to extract built-up areas from high-resolution remote sensing images by visual attention model. Remote Sens Lett. 5:305–314.10.1080/2150704X.2014.889861
   Web of Science ®Google Scholar
• Taguchi G. 1986. Introduction to quality engineering: designing quality into products and processes. Tokyo: Asian Productivity Organization.
   Google Scholar
• The writing group. 1978. Orthogonal experimental design. Shanghai: Shanghai Scientific and Technical.
   Google Scholar
• Tong H, Maxwell T, Zhang Y, Dey V. 2012. A supervised and fuzzy-based approach to determine optimal multi-resolution image segmentation parameters. Photogramm Eng Remote Sens. 78:1029–1044.10.14358/PERS.78.10.1029
   Web of Science ®Google Scholar
• Tsai VJD. 2006. A comparative study on shadow compensation of color aerial images in invariant color models. IEEE Trans Geosci Remote Sens. 44:1661–1671.10.1109/TGRS.2006.869980
   Web of Science ®Google Scholar
• Vedaldi A, Fulkerson B. 2010. VLFeat: an open and portable library of computer vision algorithms. Proceedings of the 18th ACM international conference on Multimedia; Firenze: ACM.
   Google Scholar
• Vedaldi A, Soatto S. 2008. Quick shift and kernel methods for mode seeking. In: Forsyth D, Torr P, Zisserman A, editors. Computer vision–ECCV 2008. Proceedings of the 10th European Conference on Computer Vision, Part IV; Oct 12–18; Berlin, Germany: Springer.
   Google Scholar
• Wu C, Du B, Zhang L. 2014a. Slow feature analysis for change detection in multispectral imagery. IEEE Trans Geosci Remote Sens. 52:2858–2874.10.1109/TGRS.2013.2266673
   Web of Science ®Google Scholar
• Wu H, Cheng Z, Shi W, Miao Z, Xu C. 2014b. An object-based image analysis for building seismic vulnerability assessment using high-resolution remote sensing imagery. Nat Hazards. 71:151–174.10.1007/s11069-013-0905-6
   Web of Science ®Google Scholar
• Zhou W, Huang G, Troy A, Cadenasso M. 2009. Object-based land cover classification of shaded areas in high spatial resolution imagery of urban areas: a comparison study. Remote Sens Environ. 113:1769–1777.10.1016/j.rse.2009.04.007
   Web of Science ®Google Scholar
• Zhu Q, Xu S, Han L. 2007. A new shadow extraction method from color aerial images based on Dempster–Shafter evidence theory. ACTA Automat Sin. 33:588–595.
   Google Scholar