U-net-based semantic classification for flood extent extraction using SAR imagery and GEE platform: A case study for 2019 central US flooding
Data-driven models for water body extraction have experienced accelerated growth in
recent years, thanks to advances in processing techniques and computational resources, as …
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
Water detection from SAR imagery has significant values, such as the flood monitoring and
environmental protection. Nowadays, significant progress has been achieved in water …
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 …
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
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 …
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
With advancements in remote sensing technology and the increasing availability of remote
sensing platforms, the capacity to monitor droughts using multiple satellite remote sensing …
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 …
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 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 …
aperture radar (SAR) images has seen extensive development. However, a significant …
Rapid and automatic detection of new potential landslide based on phase-gradient DInSAR
Although the widely used time-series interferometric synthetic aperture radar (InSAR)
technology makes up for the shortcomings of traditional geological investigation, such as …
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 …
weather detection capability, which is crucial for detecting surface water resources. Surface …