Automated Detection of Changes in Built-Up Areas for Map Updating: A Case Study in Northern Italy
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Springer Nature Switzerland
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https://link.springer.com/content/pdf/10.1007/978-3-031-31407-0_32
Reference19 articles.
1. Wu, L., et al.: Multi-type forest change detection using BFAST and monthly landsat time series for monitoring spatiotemporal dynamics of forests in subtropical wetland. Remote Sens. 12, 341 (2020). https://doi.org/10.3390/rs12020341
2. Anantrasirichai, N., et al.: Detecting ground deformation in the built environment using sparse satellite InSAR data with a convolutional neural network. IEEE Trans. Geosci. Remote Sens. 59, 2940–2950 (2021). https://doi.org/10.1109/TGRS.2020.3018315
3. Truong, C., Oudre, L., Vayatis, N.: Selective review of offline change point detection methods. Signal Proc. 167, 107299 (2020). https://doi.org/10.1016/j.sigpro.2019.107299
4. Kennedy, R.E., Yang, Z., Cohen, W.B.: Detecting trends in forest disturbance and recovery using yearly Landsat time series: 1. LandTrendr - Temporal segmentation algorithms. Remote Sens. Environ. 114, 2897–2910 (2010). https://doi.org/10.1016/j.rse.2010.07.008
5. Rahman, A.F., Dragoni, D., Didan, K., Barreto-Munoz, A., Hutabarat, J.A.: Detecting large scale conversion of mangroves to aquaculture with change point and mixed-pixel analyses of high-fidelity MODIS data. Remote Sens. Environ. 130, 96–107 (2013). https://doi.org/10.1016/j.rse.2012.11.014
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