Detection of Collapse Buildings Using UAV and Bitemporal Satellite Imagery
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Jung, Sejung
(Department of Geospatial Information, Kyungpook National University)
Lee, Kirim (Department of Geospatial Information, Kyungpook National University) Yun, Yerin (School of Convergence & Fusion System Engineering, Kyungpook National University) Lee, Won Hee (School of Convergence & Fusion System Engineering, Kyungpook National University) Han, Youkyung (School of Convergence & Fusion System Engineering, Kyungpook National University) |
1 | Hong, Z., Tong, X., Cao, W., Jiang, S., Chen, P., and Liu, S. (2015), Rapid three-dimensional detection approach for building damage due to earthquakes by the use of parallel processing of unmanned aerial vehicle imagery, Journal of Applied Remote Sensing, Vol. 9, No. 1, pp. 097292. DOI |
2 | Huang, X., Zhang, L., and Zhu, T. (2013), Building change detection from multitemporal high-resolution remotely sensed images based on a morphological building index, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol. 7, No. 1, pp. 105-115. DOI |
3 | Jung, S.J., Kim, T.H., Lee, W.H., and Han, Y.K. (2019), Object-based Change Detection using Various Pixelbased Change Detection Results and Registration Noise, Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography, Vol. 37, No. 6, pp. 481-489. (in Korean with English abstract) DOI |
4 | Konstantinidis, D., Stathaki, T., Argyriou, V., and Grammalidis, N. (2016), Building detection using enhanced HOG-LBP features and region refinement processes, IEEE Journal of Selected topics in applied Earth observations and Remote Sensing, Vol. 10, No. 3, pp. 888-905. DOI |
5 | Landis, J.R. and Koch, G.G. (1977), An application of hierarchical kappa-type statistics in the assessment of majority agreement among multiple observers, Biometrics, Vol. 33, No. 2, pp. 363-374. DOI |
6 | Xie, S., Duan, J., Liu, S., Dai, Q., Liu, W., Ma, Y., and Ma, C. (2016), Crowdsourcing rapid assessment of collapsed buildings early after the earthquake based on aerial remote sensing image: A case study of yushu earthquake, Remote Sensing, Vol. 8, No. 9, pp. 759. DOI |
7 | Zhang, X., Chen, G., Wang, W., Wang, Q., and Dai, F. (2017), Object-based land-cover supervised classification for very-high-resolution UAV images using stacked denoising autoencoders, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol. 10, No. 7, pp. 3373-3385. DOI |
8 | Ma, H., Liu, Y., Ren, Y., and Yu, J. (2020), Detection of Collapsed Buildings in Post-Earthquake Remote Sensing Images Based on the Improved YOLOv3, Remote Sensing, Vol. 12, No. 1, pp. 44. |
9 | Li, S., Tang, H., He, S., Shu, Y., Mao, T., Li, J., and Xu, Z. (2015), Unsupervised detection of earthquake-triggered roof-holes from UAV images using joint color and shape features, IEEE Geoscience and Remote Sensing Letters, Vol. 12, No. 9, pp. 1823-1827. DOI |
10 | Liu, H., Yang, M., Chen, J., Hou, J., and Deng, M. (2018), Lineconstrained shape feature for building change detection in VHR remote sensing imagery, ISPRS International Journal of Geo-Information, Vol. 7, No. 10, pp. 410. DOI |
11 | Mosammam, H.M., Nia, J.T., Khani, H., Teymouri, A., and Kazemi, M. (2017), Monitoring land use change and measuring urban sprawl based on its spatial forms: The case of Qom city, The Egyptian Journal of Remote Sensing and Space Science, Vol. 20, No. 1, pp. 103-116. DOI |
12 | Shin, D.Y., Kim, T.H., Han, Y.K., Kim, S.S., and Park, J.S. (2019), Change Detection of Building Demolition Area Using UAV, Korean Journal of Remote Sensing, Vol. 35, No. 5-2, pp. 819-829. (in Korean with English abstract) DOI |
13 | Tanchotsrinon, C., Phimoltares, S., and Lursinsap, C. (2013), An autonomic building detection method based on texture analysis, color segmentation, and neural classification, In 2013 5th International Conference on Knowledge and Smart Technology (KST) IEEE-2013, 31 January - 1 February, Chonburi, Thailand, pp. 162-167. |
14 | Woebbecke, D.M., Meyer, G.E., Von Bargen, K., and Mortensen, D.A. (1995), Color indices for weed identification under various soil, residue, and lighting conditions, Transactions of the ASAE, Vol. 38, No. 1, pp. 259-269. DOI |
15 | Xiao, P., Zhang, X., Wang, D., Yuan, M., Feng, X., and Kelly, M. (2016), Change detection of built-up land: A framework of combining pixel-based detection and objectbased recognition, ISPRS Journal of Photogrammetry and Remote Sensing, Vol. 119, pp. 402-414. DOI |
16 | Haralick, R.M., Shanmugam, K., and Dinstein, I.H. (1973), Textural features for image classification, IEEE Transactions on systems, man, and cybernetics, Vol. SMC-3. No. 6, pp. 610-621. DOI |
17 | Awrangjeb, M., Zhang, C., and Fraser, C. S. (2011), Improved building detection using texture information, International Archives of Photogrammetry, Remote Sensing and Spatial Information Sciences-2011, 38, 5-7 October, Munich, Germany, pp. 143-148. |
18 | Hao, L., Zhang, Y., and Cao, Z. (2019), Robust building boundary extraction method based on dual-scale feature classification and decision fusion with satellite image, International journal of remote sensing. Vol. 40, No. 14, pp. 5497-5529. DOI |
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