U-net-based semantic classification for flood extent extraction using SAR imagery and GEE platform: A case study for 2019 central US flooding

Z Li, I Demir - Science of The Total Environment, 2023 - Elsevier
Data-driven models for water body extraction have experienced accelerated growth in
recent years, thanks to advances in processing techniques and computational resources, as …

[HTML][HTML] Towards transparent deep learning for surface water detection from SAR imagery

L Chen, X Cai, J Xing, Z Li, W Zhu, Z Yuan… - International Journal of …, 2023 - Elsevier
Water detection from SAR imagery has significant values, such as the flood monitoring and
environmental protection. Nowadays, significant progress has been achieved in water …

Review of Segmentation Methods for Coastline Detection in SAR Images

M Ciecholewski - Archives of Computational Methods in Engineering, 2024 - Springer
Synthetic aperture radar (SAR) images acquired by airborne sensors or remote sensing
satellites contain the necessary information that can be used to investigate various objects of …

[HTML][HTML] Deep learning based distributed scatterers acceleration approach: Distributed scatterers prediction Net

D Wang, M Even, H Kutterer - … Journal of Applied Earth Observation and …, 2022 - Elsevier
Distributed scatter (DS) interferometric synthetic aperture radar is a powerful technology for
analyzing displacements of the earth's surface. Unfortunately, the preparatory step of DS pre …

Characterizing the 2022 Extreme Drought Event over the Poyang Lake Basin Using Multiple Satellite Remote Sensing Observations and In Situ Data

S Liu, Y Wu, G Xu, S Cheng, Y Zhong, Y Zhang - Remote Sensing, 2023 - mdpi.com
With advancements in remote sensing technology and the increasing availability of remote
sensing platforms, the capacity to monitor droughts using multiple satellite remote sensing …

[HTML][HTML] Monitoring braided river-bed dynamics at the sub-event time scale using time series of Sentinel-1 SAR imagery

D Rossi, G Zolezzi, W Bertoldi, A Vitti - Remote Sensing, 2023 - mdpi.com
Remote sensing plays a central role in the assessment of environmental phenomena and
has increasingly become a powerful tool for monitoring shorelines, river morphology, flood …

Comparing water indices for landsat data for automated surface water body extraction under complex ground background: a case study in Jilin Province

S Liu, Y Wu, G Zhang, N Lin, Z Liu - Remote Sensing, 2023 - mdpi.com
Derived from Landsat imagery and capable of enhancing the contrast between surface
water bodies and the background, water indices are widely used in surface water body …

Water-Body Detection From Spaceborne SAR Images With DBO-CNN

Q Yuan, L Wu, Y Huang, Z Guo… - Ieee Geoscience and …, 2023 - ieeexplore.ieee.org
In recent years, the application of deep learning for water-body detection in synthetic
aperture radar (SAR) images has seen extensive development. However, a significant …

Rapid and automatic detection of new potential landslide based on phase-gradient DInSAR

Y Shen, K Dai, M Wu, G Zhuo, M Wang… - … and Remote Sensing …, 2022 - ieeexplore.ieee.org
Although the widely used time-series interferometric synthetic aperture radar (InSAR)
technology makes up for the shortcomings of traditional geological investigation, such as …

Water-body detection in Sentinel-1 SAR images with DK-CO network

Y Xie, H Zeng, K Yang, Q Yuan, C Yang - Electronics, 2023 - mdpi.com
Synthetic Aperture Radar (SAR) is an active microwave sensor with all-day/night and all-
weather detection capability, which is crucial for detecting surface water resources. Surface …