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SEGMENTATION OF SHADOWS AND WATER BODIES IN HIGH RESOLUTION IMAGES USING ANCILLARY DATA
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Willhauck, G., Comparison of object oriented classification techniques and standard image analysis for the use of change detection between SPOT multispectral satellite images and aerial photos, Journal International Archives of Photogrammetry and Remote Sensing Vol. XXXIII, Supplement B3, 2000, pp. 35-42.
Liao, H., and Ling N. Object-Oriented Classification of High Resolution Satellite Image for Better Accuracy, In: Proceedings of the 8th International Symposium on Spatial Accuracy Assessment in Natural Resources and Environmental Sciences Shanghai, P. R. China, June 25-27, 2008, pp. 211-218.
Chen, Y., Su, W., Li, J., Sun, Z., Hierarchical object oriented classification using very high resolution imagery and LIDAR data over urban areas, Advances in Space Research, 2009, vol. 43 (7), pp. 1101-1110.
K. Kouchi and F. Yamazaki, Characteristics of tsunami-affected areas in moderate- resolution satellite images,” Journal IEEE Trans. Geosci. Remote Sens ., 2007, vol. 45, no. 6, pp. 1650–1657.
Liu, W and Yamazaki, F., IEEE Object-Based Shadow Extraction and Correction of High-Resolution Optical Satellite Images, Journal of Selected Topics In Applied Earth Observations And Remote Sensing, 2012, vol. 5(4), pp. 1296-1302.
Pandey, P.K., Singh, Y., Tripathi, S., Image Processing using Principle Component Analysis International Journal of Computer Applications (0975 – 8887) Vo l. 15 (4), 2011, pp. 37-40.
Zhou, W., Huang, G., Troy, A., and Cadenasso, M. L. Object-based land cover classification of shaded areas in high spatial resolution imagery of urban areas: A comparison study. Remote Sensing of Environment, 2009, vol.113(8), pp. 1769-1777.
Man, Q., Dong, P.b and Guo, H., Pixel- and feature-level fusion of hyperspectral and lidar data for urban land-use classification, International Journal of Remote Sensing, vol. 36 (6), 2015, pp. 1618-1644.
Meneghini, C. and Parente, C., A new index to perform shadow detection in GeoEye-1 images, International Journal of Engineering and Technology, vol 7(5), 2014 I SSN: 2319-8613 Online ISSN: 0975-4024, pp. 1581-1588.
Haijian, M., Qiming, Q. and Xinyi, S ., Shadow segmentation and compensation in high resolution satellite images , International Geoscience and Remote Sensing Symposium (IGARSS), vol. 2(1), 2008, pp. 1036-1039.
Ons, G., Tebourbi, R., Object oriented hierarchical classification of high resolution remote sensing images, Proc. ICIP, International Conference on Image Processing, 2009, pp. 1681-1684. 16th International Multidisciplinary Scientific GeoConference SGEM2016 www.sgem.org
Willhauck, G., Comparison of object oriented classification techniques and standard image analysis for the use of change detection between SPOT multispectral satellite images and aerial photos, Journal International Archives of Photogrammetry and Remote Sensing Vol. XXXIII, Supplement B3, 2000, pp. 35-42.
Liao, H., and Ling N. Object-Oriented Classification of High Resolution Satellite Image for Better Accuracy, In: Proceedings of the 8th International Symposium on Spatial Accuracy Assessment in Natural Resources and Environmental Sciences Shanghai, P. R. China, June 25-27, 2008, pp. 211-218.
Chen, Y., Su, W., Li, J., Sun, Z., Hierarchical object oriented classification using very high resolution imagery and LIDAR data over urban areas, Advances in Space Research, 2009, vol. 43 (7), pp. 1101-1110.
K. Kouchi and F. Yamazaki, Characteristics of tsunami-affected areas in moderate- resolution satellite images,” Journal IEEE Trans. Geosci. Remote Sens ., 2007, vol. 45, no. 6, pp. 1650–1657.
Liu, W and Yamazaki, F., IEEE Object-Based Shadow Extraction and Correction of High-Resolution Optical Satellite Images, Journal of Selected Topics In Applied Earth Observations And Remote Sensing, 2012, vol. 5(4), pp. 1296-1302.
Pandey, P.K., Singh, Y., Tripathi, S., Image Processing using Principle Component Analysis International Journal of Computer Applications (0975 – 8887) Vo l. 15 (4), 2011, pp. 37-40.
Zhou, W., Huang, G., Troy, A., and Cadenasso, M. L. Object-based land cover classification of shaded areas in high spatial resolution imagery of urban areas: A comparison study. Remote Sensing of Environment, 2009, vol.113(8), pp. 1769-1777.
Man, Q., Dong, P.b and Guo, H., Pixel- and feature-level fusion of hyperspectral and lidar data for urban land-use classification, International Journal of Remote Sensing, vol. 36 (6), 2015, pp. 1618-1644.
Meneghini, C. and Parente, C., A new index to perform shadow detection in GeoEye-1 images, International Journal of Engineering and Technology, vol 7(5), 2014 I SSN: 2319-8613 Online ISSN: 0975-4024, pp. 1581-1588.
Haijian, M., Qiming, Q. and Xinyi, S ., Shadow segmentation and compensation in high resolution satellite images , International Geoscience and Remote Sensing Symposium (IGARSS), vol. 2(1), 2008, pp. 1036-1039.
Ons, G., Tebourbi, R., Object oriented hierarchical classification of high resolution remote sensing images, Proc. ICIP, International Conference on Image Processing, 2009, pp. 1681-1684. 16th International Multidisciplinary Scientific GeoConference SGEM2016 www.sgem.org
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