Automatic Change Detection Using Unsupervised Saliency Guided Method with UAV and Aerial Images |
Farkoushi, Mohammad Gholami
(Department of Civil and Environmental Engineering, Yonsei University)
Choi, Yoonjo (Department of Civil and Environmental Engineering, Yonsei University) Hong, Seunghwan (Stryx Inc.) Bae, Junsu (Department of Civil and Environmental Engineering, Yonsei University) Sohn, Hong-Gyoo (Department of Civil and Environmental Engineering, Yonsei University) |
1 | Chen, J., P. Gong, C. He, R. Pu, and P. Shi, 2003. Land-use/land-cover change detection using improved change-vector analysis, Photogrammetric Engineering & Remote Sensing, 69(4): 369-379. DOI |
2 | Crist, E.P. and R.C. Cicone, 1984. Application of the tasseled cap concept to simulated thematic mapper data, Photogrammetric Engineering and Remote Sensing, 50(3): 343-352. |
3 | Feng, W., H. Sui, J. Tu, W. Huang, and K. Sun, 2018. A novel change detection approach based on visual saliency and random forest from multitemporal high-resolution remote-sensing images, International Journal of Remote Sensing, 39(22): 7998-8021. DOI |
4 | Goferman, S., L. Zelnik-Manor, and A. Tal, 2011. Contextaware saliency detection, IEEE Transactions on Pattern Analysis and Machine Intelligence, 34(10): 1915-1926. DOI |
5 | Gonzalez, R.C. and R.E. Woods, 2006. Digital Image Processing, 3rd ed., Pearson Prentice Hall, Upper Saddle River, NJ, USA. |
6 | Hou, B., Y. Wang, and Q. Liu, 2016. A saliency guided semi-supervised building change detection method for high resolution remote sensing images, Sensors, 16(9): 1377. DOI |
7 | Hou, X. and L. Zhang, 2007. Saliency detection: A spectral residual approach, Proc. of 2007 IEEE Conference on computer vision and pattern recognition, Minneapolis, MN, USA, Jun. 17-22, pp. 1-8. |
8 | Itti, L. and C. Koch, 2001a. Computational modelling of visual attention, Nature Reviews Neuroscience, 2(3): 194-203. DOI |
9 | Itti, L., C. Koch, and E. Niebur, 1998b. A model of saliency-based visual attention for rapid scene analysis, IEEE Transactions on Pattern Analysis and Machine Intelligence, 20(11): 1254-1259. DOI |
10 | Jager, M. and O. Hellwich, 2005. Saliency and salient region detection in SAR polarimetry. Proc. of 2007 IEEE International Geoscience and Remote Sensing Symposium (IGARSS), Beijing, CHN, Jul. 10-15, vol. 4, pp. 2791-2794. |
11 | Landis, J.R. and G.G. Koch, 1977. The measurement of observer agreement for categorical data, Biometrics, 1: 159-174. DOI |
12 | Malila, W.A, 1980. Change vector analysis: an approach for detecting forest changes with Landsat, Proc. of 2007 IEEE in LARS symposia, West Lafayette, IN, USA, Jun. 3-6, vol. 1, pp. 326-335. |
13 | Rother, C., V. Kolmogorov, and A. Blake, 2004. "GrabCut" interactive foreground extraction using iterated graph cuts, ACM Transactions on Graphics (TOG), 23(3): 309-314. DOI |
14 | Rutishauser, U., D. Walther, C. Koch, and P. Perona, 2004. Is bottom-up attention useful for object recognition?, Pro of the 2004 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, Washington, DC, USA, Jun. 27-Jul. 2, vol. 2, pp. 37-44. |
15 | Solano-Correa, Y.T., F. Bovolo, and L. Bruzzone, 2018. An approach for unsupervised change detection in multitemporal VHR images acquired by different multispectral sensors, Remote Sensing, 10(4): 533. DOI |
16 | Tian, M., S. Wan, and L. Yue, 2007. A novel approach for change detection in remote sensing image based on saliency map, Computer Graphics, Imaging and Visualization, 1: 397-402. DOI |
17 | Zhang, F., B. Du, and L. Zhang, 2014. Saliency-guided unsupervised feature learning for scene classification, IEEE Transactions on Geoscience and Remote Sensing, 53(4): 2175-2184. DOI |
18 | Zhang, L. and Y. Zhang, 2016. Airport detection and aircraft recognition based on two-layer saliency model in high spatial resolution remote-sensing images, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 10(4): 1511-1524. DOI |
19 | Zheng, Y., L. Jiao, H. Liu, X. Zhang, B. Hou, and S. Wang, 2017. Unsupervised saliency-guided SAR image change detection, Pattern Recognition, 61: 309-326. DOI |