Targeted change detection in remote sensing images

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Jianya, G., Haigang, S., Guorui, M., & Qiming, Z. (2008). A review of multi-temporal remote sensing data change detection algorithms. The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 37(B7), 757-762

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Almutairi, A., & Warner, T. A. (2010). Change detection accuracy and image properties: a study using simulated data. Remote Sensing, 2(6), 1508-1529

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Bourdis, N., Marraud, D., & Sahbi, H. (2011, July). Constrained optical flow for aerial image change detection. In Geoscience and Remote Sensing Symposium (IGARSS), 2011 IEEE International (pp. 4176-4179). IEEE

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Fernàndez-Prieto, D., & Marconcini, M. (2011). A novel partially supervised approach to targeted change detection. IEEE Transactions on Geoscience and Remote Sensing, 49(12), 5016-5038

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Sakurada, K., Okatani, T., & Deguchi, K. (2013, June). Detecting changes in 3D structure of a scene from multi-view images captured by a vehicle-mounted camera. In Computer Vision and Pattern Recognition (CVPR), 2013 IEEE Conference on (pp. 137-144). IEEE

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Vittek, M., Brink, A., Donnay, F., Simonetti, D., & Desclée, B. Land cover change monitoring using Landsat MSS/TM satellite image data over west africa between 1975 and 1990. Remote Sensing 2014; 6 (1): 658-676

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Cai S., & Liu, D. (2015). Detecting Change Dates from Dense Satellite Time Series Using a Sub-Annual Change Detection Algorithm. Remote Sensing, 7, 8705-8727. doi:10.3390/rs70708705

2015

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Vakalopoulou, M., Karantzalos, K., Komodakis, N., & Paragios, N. (2015). Simultaneous registration and change detection in multitemporal, very high resolution remote sensing data. In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops (pp. 61-69)

El Amin, A. M., Liu, Q., & Wang, Y. (2016, July). Convolutional neural network features based change detection in satellite images. In First International Workshop on Pattern Recognition (Vol. 10011, p. 100110W). International Society for Optics and Photonics

2016

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Chu, Y., Cao, G., & Hayat, H. (2016). Change Detection of Remote Sensing Image Based on Deep Neural Networks

2016

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Lyu, H., Lu, H., & Mou, L. (2016). Learning a transferable change rule from a recurrent neural network for land cover change detection. Remote Sensing, 8(6), 506

2016

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Wang, B., Choi, J., Choi, S., Lee, S., Wu, P., & Gao, Y. (2017). Image Fusion-Based Land Cover Change Detection Using Multi-Temporal High-Resolution Satellite Images. Remote Sensing, 9(8), 804

2017

Later among the works it cites.