Multi-criteria evaluation of the shadow index performance of Landsat 8 OLI images

References

• Arévalo, V., J. González, and G. Ambrosio. 2008. “Shadow Detection in Colour High‐resolution Satellite Images.” International Journal of Remote Sensing 29 (7): 1945–1963. doi:10.1080/01431160701395302.
   Web of Science ®Google Scholar
• Bertels, L., B. Smets, and D. Wolfs. 2016. “Dynamic Water Surface Detection Algorithm Applied on PROBA-V Multispectral Data.” Remote Sensing 8 (12): 1010. doi:10.3390/rs8121010.
   Web of Science ®Google Scholar
• Burgess, D. W., P. Lewis, and J. P. A. L. Muller. 1995. “Topographic Effects in AVHRR NDVI Data.” Remote Sensing of Environment 54 (3): 223–232. doi:10.1016/0034-4257(95)00155-7.
   Web of Science ®Google Scholar
• Chen, Y., D. Wen, L. Jing, and P. Shi. 2007. “Shadow Information Recovery in Urban Areas from Very High Resolution Satellite Imagery.” International Journal of Remote Sensing 28 (15): 3249–3254. doi:10.1080/01431160600954621.
   Web of Science ®Google Scholar
• Deng, C. and C. Wu. 2012. “BCI: A Biophysical Composition Index for Remote Sensing of Urban Environments.” Remote Sensing of Environment 127: 247–259. doi:10.1016/j.rse.2012.09.009.
   Web of Science ®Google Scholar
• Fu, H., T. Zhou, and C. Sun. 2020. “Object-Based Shadow Index via Illumination Intensity from High Resolution Satellite Images Over Urban Areas.” Sensors 20 (4): 1077. doi:10.3390/s20041077.
   Web of Science ®Google Scholar
• Han, H., C. Han, T. Lan, L. Huang, C. Hu, and X. Xue. 2020. “Automatic Shadow Detection for Multispectral Satellite Remote Sensing Images in Invariant Color Spaces.” Applied Sciences 10 (18): 6467. doi:10.3390/app10186467.
   Google Scholar
• Han, H., C. Han, X. Xue, C. Hu, L. Huang, X. Li, T. Lan, and M. Wen. 2018. “A Mixed Property-Based Automatic Shadow Detection Approach for VHR Multispectral Remote Sensing Images.” Applied Sciences 8 (10): 1883. doi:10.3390/app8101883.
   Google Scholar
• Hu, X. and Q. Weng. 2011. “Impervious Surface Area Extraction from IKONOS Imagery Using an Object-Based Fuzzy Method.” Geocarto International 26 (1): 3–20. doi:10.1080/10106049.2010.535616.
   Web of Science ®Google Scholar
• Islam, M. N., M. Tahtali, and M. Pickering. 2020. “Hybrid Fusion-Based Background Segmentation in Multispectral Polarimetric Imagery.” Remote Sensing 12 (11): 1776. doi:10.3390/rs12111776.
   Web of Science ®Google Scholar
• Kakooei, M. and Y. Baleghi. 2020. “Shadow Detection in Very High Resolution RGB Images Using a Special Thresholding on a New Spectral–Spatial Index.” Journal of Applied Remote Sensing 14 (01): 1. doi:10.1117/1.Jrs.14.016503.
   Google Scholar
• Li, Y., P. Gong, and T. Sasagawa. 2007. “Integrated Shadow Removal Based on Photogrammetry and Image Analysis.” International Journal of Remote Sensing 26 (18): 3911–3929. doi:10.1080/01431160500159347.
   Web of Science ®Google Scholar
• Liu, J., T. Fang, and D. Li. 2011. “Shadow Detection in Remotely Sensed Images Based on Self-Adaptive Feature Selection.” IEEE Transactions on Geoscience and Remote Sensing 49 (12): 5092–5103. doi:10.1109/tgrs.2011.2158221.
   Web of Science ®Google Scholar
• Liu, H. and T. Xie. 2013. “Study on Shadow Detection in High Resolution Remote Sensing Image of PCA and HIS Model.” Remote Sensing Technology and Application 28 (1): 78–84.
   Google Scholar
• Li, H., L. Xu, H. Shen, and L. Zhang. 2016. “A General Variational Framework Considering Cast Shadows for the Topographic Correction of Remote Sensing Imagery.” ISPRS Journal of Photogrammetry and Remote Sensing 117: 161–171. doi:10.1016/j.isprsjprs.2016.03.021.
   Web of Science ®Google Scholar
• Ma, Z., Z. Liu, Y. Zhao, L. Zhang, D. Liu, T. Ren, X. Zhang, and S. Li. 2020. “An Unsupervised Crop Classification Method Based on Principal Components Isometric Binning.” ISPRS International Journal of Geo-Information 9 (11): 648. doi:10.3390/ijgi9110648.
   Web of Science ®Google Scholar
• Ma, H., Q. Qin, and X. Shen. 2008. “Shadow Segmentation and Compensation in High Resolution Satellite Images.” In IGARSS 2008 - 2008 IEEE International Geoscience and Remote Sensing Symposium, Boston, Massachusetts, USA. II-1036-II-9.
   Google Scholar
• Mostafa, Y. and A. Abdelhafiz. 2017. “Accurate Shadow Detection from High-Resolution Satellite Images.” IEEE Geoscience and Remote Sensing Letters 14 (4): 494–498. doi:10.1109/lgrs.2017.2650996.
   Web of Science ®Google Scholar
• Movia, A., A. Beinat, and F. Crosilla. 2016. “Shadow Detection and Removal in RGB VHR Images for Land Use Unsupervised Classification.” ISPRS Journal of Photogrammetry and Remote Sensing 119: 485–495. doi:10.1016/j.isprsjprs.2016.05.004.
   Web of Science ®Google Scholar
• Ngoc, D. D., H. Loisel, C. Jamet, V. Vantrepotte, L. Duforêt-Gaurier, C. D. Minh, and A. Mangin. 2019. “Coastal and Inland Water Pixels Extraction Algorithm (WiPe) from Spectral Shape Analysis and HSV Transformation Applied to Landsat 8 OLI and Sentinel-2 MSI.” Remote Sensing of Environment 223: 208–228. doi:10.1016/j.rse.2019.01.024.
   Web of Science ®Google Scholar
• Otsu, N. 1979. “A Threshold Selection Method from Gray-Level Histograms.” IEEE Transactions on Systems, Man, and Cybernetics 9 (1): 62–66. doi:10.1109/tsmc.1979.4310076.
   Web of Science ®Google Scholar
• Pekel, J. F., C. Vancutsem, L. Bastin, M. Clerici, E. Vanbogaert, E. Bartholomé, and P. Defourny. 2014. “A Near Real-Time Water Surface Detection Method Based on HSV Transformation of MODIS Multi-Spectral Time Series Data.” Remote Sensing of Environment 140: 704–716. doi:10.1016/j.rse.2013.10.008.
   Web of Science ®Google Scholar
• Polidorio, A. M., F. C. Flores, N. N. Imai, A. M. G. Tommaselli, and C. Franco. 2003. “Automatic Shadow Segmentation in Aerial Color Images.” In 16th Brazilian Symposium on Computer Graphics and Image Processing (SIBGRAPI 2003), Sao Carlos, Brazil. 270–277.
   Google Scholar
• Rumora, L., M. Miler, and D. Medak. 2019. “Contemporary Comparative Assessment of Atmospheric Correction Influence on Radiometric Indices Between Sentinel-2A and Landsat 8 Imagery.” Geocarto International 36 (1): 13–27. doi:10.1080/10106049.2019.1590465.
   Web of Science ®Google Scholar
• Salvador, E., A. Cavallaro, and T. Ebrahimi. 2004. “Cast Shadow Segmentation Using Invariant Color Features.” Computer Vision and Image Understanding 95 (2): 238–259. doi:10.1016/j.cviu.2004.03.008.
   Web of Science ®Google Scholar
• Schulmann, T., M. Katurji, and P. Zawar-Reza. 2015. “Seeing Through Shadow: Modelling Surface Irradiance for Topographic Correction of Landsat ETM+ Data.” ISPRS Journal of Photogrammetry and Remote Sensing 99: 14–24. doi:10.1016/j.isprsjprs.2014.10.004.
   Web of Science ®Google Scholar
• Shepherd, J. D. and J. R. Dymond. 2010. “Correcting Satellite Imagery for the Variance of Reflectance and Illumination with Topography.” International Journal of Remote Sensing 24 (17): 3503–3514. doi:10.1080/01431160210154029.
   Google Scholar
• Shrestha, D. P., A. Saepuloh, and F. V. D. Meer. 2019. “Land Cover Classification in the Tropics, Solving the Problem of Cloud Covered Areas Using Topographic Parameters.” International Journal of Applied Earth Observation and Geoinformation 77: 84–93. doi:10.1016/j.jag.2018.12.010.
   Web of Science ®Google Scholar
• Silva, G. F., G. B. Carneiro, R. Doth, L. A. Amaral, and D. F. G. D. Azevedo. 2018. “Near Real-Time Shadow Detection and Removal in Aerial Motion Imagery Application.” ISPRS Journal of Photogrammetry and Remote Sensing 140: 104–121. doi:10.1016/j.isprsjprs.2017.11.005.
   Web of Science ®Google Scholar
• Sola, I., M. González-Audícana, and J. Álvarez-Mozos. 2016. “Multi-Criteria Evaluation of Topographic Correction Methods.” Remote Sensing of Environment 184: 247–262. doi:10.1016/j.rse.2016.07.002.
   Web of Science ®Google Scholar
• Sun, G., X. Chen, X. Jia, Y. Yao, and Z. Wang. 2016. “Combinational Build-Up Index (CBI) for Effective Impervious Surface Mapping in Urban Areas.” IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 9 (5): 2081–2092. doi:10.1109/jstars.2015.2478914.
   Web of Science ®Google Scholar
• Sun, G., H. Huang, Q. Weng, A. Zhang, X. Jia, J. Ren, L. Sun, and X. Chen. 2019. “Combinational Shadow Index for Building Shadow Extraction in Urban Areas from Sentinel-2A MSI Imagery.” International Journal of Applied Earth Observation and Geoinformation 78: 53–65. doi:10.1016/j.jag.2019.01.012.
   Web of Science ®Google Scholar
• Wang, Q., L. Yan, Q. Yuan, and Z. Ma. 2017. “An Automatic Shadow Detection Method for VHR Remote Sensing Orthoimagery.” Remote Sensing 9 (5). doi:10.3390/rs9050469.
   Web of Science ®Google Scholar
• Wang, L., G. X. Zhao, Y. M. Jiang, X. C. Zhu, C. Y. Chang, and M. M. Wang. 2016. “Detection of Cloud Shadow in Landsat 8 OLI Image by Shadow Index and Azimuth Search Method.” Journal of Remote Sensing 20 (6): 1461–1469. doi:10.11834/jrs.20165248.
   Google Scholar
• Xue, L., S. Yang, Y. Li, and J. Ma. 2018. “An Automatic Shadow Detection Method for High-Resolution Remote Sensing Imagery Based on Polynomial Fitting.” International Journal of Remote Sensing 40 (8): 2986–3007. doi:10.1080/01431161.2018.1538586.
   Web of Science ®Google Scholar
• Yang, J. and Y. He. 2017. “Automated Mapping of Impervious Surfaces in Urban and Suburban Areas: Linear Spectral Unmixing of High Spatial Resolution Imagery.” International Journal of Applied Earth Observation and Geoinformation 54: 53–64. doi:10.1016/j.jag.2016.09.006.
   Web of Science ®Google Scholar
• Yang, X., X. Zuo, W. Xie, Y. Li, S. Guo, and H. Zhang. 2022. “A Correction Method of NDVI Topographic Shadow Effect for Rugged Terrain.” IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 1–16. doi:10.1109/jstars.2022.3193419.
   Web of Science ®Google Scholar
• Zhou, T., H. Fu, C. Sun, and S. Wang. 2021. “Shadow Detection and Compensation from Remote Sensing Images Under Complex Urban Conditions.” Remote Sensing 13 (4). doi:10.3390/rs13040699.
   Web of Science ®Google Scholar
• Zhou, J., Y. Zhou, X. Guo, and Z. Ren. 2011. “Methods of Extracting Distribution Information of Plants at Urban Darken Areas and Repairing Their Brightness.” Journal of East China Normal University (Natural Science) 57 (6): 1–9.
   Google Scholar