High Accuracy Algorithm of Airborne Interferometric Synthetic Aperture Radar

2011 ◽  
Vol 128-129 ◽  
pp. 138-141
Author(s):  
Song Tao Han ◽  
Ge Shi Tang ◽  
Yong Fei Mao ◽  
Lue Chen ◽  
Mei Wang
Keyword(s):  
Data Processing ◽  
Synthetic Aperture Radar ◽  
Large Scale ◽  
Synthetic Aperture ◽  
Interferometric Synthetic Aperture Radar ◽  
Processing Methods ◽  
X Band ◽  
System Data ◽  
Data Processing Methods ◽  
Aperture Radar

Interferometric Synthetic Aperture Radar is one of the most important technologies for topographic mapping. The DEM quality of airborne InSAR system depends on both system hardware performance and data processing methods. To derive large scale topographic and thematic maps up to scale 1:50000 and 1:10000, the whole data processing methods were presented. The methods included SAR imaging, interferometric processing and cartographic processing. Special methods were induced to resolve the problems encountered in project applications. Results using X-band airborne InSAR system data showed validity of the algorithm.

scholarly journals Monitoring deformation at the Geysers Geothermal Field, California using C-band and X-band interferometric synthetic aperture radar

2013 ◽  
Vol 40 (11) ◽  
pp. 2567-2572 ◽  
Author(s):  
D. W. Vasco ◽  
Jonny Rutqvist ◽  
Alessandro Ferretti ◽  
Alessio Rucci ◽  
Fernando Bellotti ◽  
...  
Keyword(s):  
Synthetic Aperture Radar ◽  
Geothermal Field ◽  
Synthetic Aperture ◽  
Interferometric Synthetic Aperture Radar ◽  
X Band ◽  
The Geysers ◽  
Aperture Radar

scholarly journals An Improved Method for Automatic Identification and Assessment of Potential Geohazards Based on MT-InSAR Measurements

2021 ◽  
Vol 13 (17) ◽  
pp. 3490
Author(s):  
Shuran Luo ◽  
Guangcai Feng ◽  
Zhiqiang Xiong ◽  
Haiyan Wang ◽  
Yinggang Zhao ◽  
...  
Keyword(s):  
Synthetic Aperture Radar ◽  
Urban Area ◽  
Ground Motion ◽  
Large Scale ◽  
Synthetic Aperture ◽  
Interferometric Synthetic Aperture Radar ◽  
Improved Method ◽  
Spatial Coverage ◽  
High Instability ◽  
Aperture Radar

Multi-temporal Interferometric Synthetic Aperture Radar (MT-InSAR) has been widely used for ground motion identification and monitoring over large-scale areas, due to its large spatial coverage and high accuracy. However, automatically locating and assessing the state of the ground motion from the massive Interferometric Synthetic Aperture Radar (InSAR) measurements is not easy. Utilizing the spatial-temporal characteristics of surface deformation on the basis of the Small Baseline Subsets InSAR (SBAS-InSAR) measurements, this study develops an improved method to locate potential unstable or dangerous regions, using the spatial velocity gradation and the temporal evolution trend of surface displacements in large-scale areas. This method is applied to identify the potential geohazard areas in a mountainous region in northwest China (Lajia Town in Qinghai province) using 73 and 71 Sentinel-1 images from the ascending and descending orbits, respectively, and an urban area (Dongguan City in Guangdong province) in south China using 32 Sentinel-1 images from the ascending orbit. In the mountainous area, 23 regions with potential landslide hazards have been identified, most of which have high to very high instability levels. In addition, the instability is the highest at the center and decreases gradually outward. In the urban area, 221 potential hazards have been identified. The moderate to high instability level areas account for the largest proportion, and they are concentrated in the farmland irrigation areas, and construction areas. The experiment results show that the improved method can quickly identify and evaluate geohazards on a large scale. It can be used for disaster prevention and mitigation.

scholarly journals A multiscale approach for detection and mapping differential subsidence using multi-platform InSAR products

2020 ◽  
Vol 382 ◽  
pp. 173-177
Author(s):  
Dario E. Solano-Rojas ◽  
Shimon Wdowinski ◽  
Enrique Cabral-Cano ◽  
Batuhan Osmanoglu ◽  
Emre Havazli ◽  
...  
Keyword(s):  
Synthetic Aperture Radar ◽  
Data Availability ◽  
Synthetic Aperture ◽  
Multiscale Approach ◽  
Interferometric Synthetic Aperture Radar ◽  
Case Examples ◽  
X Band ◽  
Data Coverage ◽  
Sar Data ◽  
Aperture Radar

Abstract. Detecting and mapping subsidence is currently supported by interferometric synthetic aperture radar (InSAR) products. However, several factors, such as band-dependent processing, noise presence, and strong subsidence limit the use of InSAR for assessing differential subsidence, which can lead to ground instability and damage to infrastructure. In this work, we propose an approach for measuring and mapping differential subsidence using InSAR products. We consider synthetic aperture radar (SAR) data availability, data coverage over time and space, and the region's subsidence rates to evaluate the need of post-processing, and only then we interpret the results. We illustrate our approach with two case-examples in Central Mexico, where we process SAR data from the Japanese ALOS (L-band), the German TerraSAR-X (X-band), the Italian COSMO-SkyMed (X-band) and the European Sentinel-1 (C-band) satellites. We find good agreement between our results on differential subsidence and field data of existing faulting and find potential to map yet-to-develop faults.

scholarly journals Automatic delineation of glacier grounding lines in differential interferometric synthetic-aperture radar data using deep learning

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Yara Mohajerani ◽  
Seongsu Jeong ◽  
Bernd Scheuchl ◽  
Isabella Velicogna ◽  
Eric Rignot ◽  
...  
Keyword(s):  
Synthetic Aperture Radar ◽  
Large Scale ◽  
Numerical Models ◽  
Radar Data ◽  
Synthetic Aperture ◽  
Interferometric Synthetic Aperture Radar ◽  
Synthetic Aperture Radar Data ◽  
Uncertainty Estimates ◽  
Grounding Line ◽  
Aperture Radar

AbstractDelineating the grounding line of marine-terminating glaciers—where ice starts to become afloat in ocean waters—is crucial for measuring and understanding ice sheet mass balance, glacier dynamics, and their contributions to sea level rise. This task has been previously done using time-consuming, mostly-manual digitizations of differential interferometric synthetic-aperture radar interferograms by human experts. This approach is no longer viable with a fast-growing set of satellite observations and the need to establish time series over entire continents with quantified uncertainties. We present a fully-convolutional neural network with parallel atrous convolutional layers and asymmetric encoder/decoder components that automatically delineates grounding lines at a large scale, efficiently, and accompanied by uncertainty estimates. Our procedure detects grounding lines within 232 m in 100-m posting interferograms, which is comparable to the performance achieved by human experts. We also find value in the machine learning approach in situations that even challenge human experts. We use this approach to map the tidal-induced variability in grounding line position around Antarctica in 22,935 interferograms from year 2018. Along the Getz Ice Shelf, in West Antarctica, we demonstrate that grounding zones are one order magnitude (13.3 ± 3.9) wider than expected from hydrostatic equilibrium, which justifies the need to map grounding lines repeatedly and comprehensively to inform numerical models.

scholarly journals InSAR Signal and Data Processing

Sensors ◽  
2020 ◽  
Vol 20 (13) ◽  
pp. 3801
Author(s):  
Mengdao Xing ◽  
Zhong Lu ◽  
Hanwen Yu
Keyword(s):  
Data Processing ◽  
Synthetic Aperture Radar ◽  
Synthetic Aperture ◽  
Interferometric Synthetic Aperture Radar ◽  
New Techniques ◽  
Recent Advances ◽  
Aperture Radar

We present here the recent advances in exploring new techniques related to interferometric synthetic aperture radar (InSAR) signal and data processing and applications.

Sign in / Sign up

Export Citation Format

Share Document