Detection of water availability in SAR images using deep learning architecture
Author:
Publisher
Springer Science and Business Media LLC
Subject
Strategy and Management,Safety, Risk, Reliability and Quality
Link
https://link.springer.com/content/pdf/10.1007/s13198-021-01152-5.pdf
Reference16 articles.
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2. Chen L, Cui X, Li Z, Yuan Z, Xing J, Xing X, Jia Z (2019) A new deep learning algorithm for SAR scene classification based on spatial statistical modeling and features re-calibration. Sensors 19:2479
3. D’Addabbo A, Refice A, Pasquariello G, Lovergine FP, Capolongo D, Manfreda S (2016) A Bayesian Network for flood detection combining SAR imagery and ancillary data. IEEE Trans Geosci Remote Sens 54:3612–3615
4. Ding X, Li X (2014) Shoreline movement monitoring based on SAR images in Shanghai. China Int J Remote Sens 35:3994–4008
5. Falk T, Mai D, Bensch R et al (2019) U-Net: deep learning for cell counting, detection, and morphometry. Nat Methods 16:67–70
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