scholarly journals A General Framework for 2D Multiframe and 3D Surface-to-surface Motion Estimation

2004 ◽  
Author(s):  
M. Li ◽  
C. Kambhamettu ◽  
M. Stone
Keyword(s):  
Motion Estimation ◽  
General Framework ◽  
Surface Motion ◽  
3D Surface

scholarly journals Glacier Surface Motion Estimation from SAR Intensity Images Based on Subpixel Gradient Correlation

Sensors ◽  
2020 ◽  
Vol 20 (16) ◽  
pp. 4396
Author(s):  
Li Fang ◽  
Zhen Ye ◽  
Shu Su ◽  
Jian Kang ◽  
Xiaohua Tong
Keyword(s):  
Motion Estimation ◽  
Estimation Method ◽  
Correlation Method ◽  
Image Correlation ◽  
Matching Method ◽  
Glacier Surface ◽  
Surface Motion ◽  
Alpine Regions ◽  
Intensity Images ◽  
Comparative Results

With the current extensive availability of synthetic-aperture radar (SAR) datasets with high temporal (e.g., a repeat cycle of a few or a dozen days) and spatial resolution (e.g., in the order of ∼1 m), radar remote sensing possesses an increasing potential for the monitoring of glacier surface motion thanks to the nearly weather and time-independent advantages. This paper proposes a robust subpixel frequency-based image correlation method for dense matching and integrates the improved matching into a workflow of glacier surface motion estimation using SAR intensity images with specific pre-processing and post-processing steps. The proposed matching method combines complex edge maps and local upsampling in the frequency domain for subpixel intensity tracking, which ensure the accuracy and robustness of glacier surface motion estimation. Experiments were carried out with TerraSAR-X and Sentinel-1 images covering two glacier areas in pole and alpine regions. The results of the monitoring and investigation of glacier motion validate the feasibility and reliability of the presented motion estimation method based on subpixel gradient correlation. The comparative results using both simulated and real SAR data indicate that the proposed matching method outperforms commonly used correlation-based matching methods in terms of matching accuracy and the ability to obtain correct matches.

scholarly journals Shelf Surface Motion Estimation from Repeat Satellite Imagery

2013 ◽  
Vol 9 (S7) ◽  
pp. 43
Author(s):  
Yi Liu ◽  
Yan Fei ◽  
Weian Wang
Keyword(s):  
Motion Estimation ◽  
Satellite Imagery ◽  
Surface Motion

Cortical Surface Motion Estimation for Brain Shift Prediction

2010 ◽  
pp. 53-62 ◽  
Author(s):  
Grand Roman Joldes ◽  
Adam Wittek ◽  
Karol Miller
Keyword(s):  
Motion Estimation ◽  
Cortical Surface ◽  
Brain Shift ◽  
Surface Motion

scholarly journals Retrieving and Verifying Three-Dimensional Surface Motion Displacement of Mountain Glacier from Sentinel-1 Imagery Using Optimized Method

Water ◽  
2021 ◽  
Vol 13 (13) ◽  
pp. 1793
Author(s):  
Yanqiang Wang ◽  
Jun Zhao ◽  
Zhongqin Li ◽  
Mingjun Zhang ◽  
Yuchun Wang ◽  
...  
Keyword(s):  
Time Series ◽  
Three Dimensional ◽  
Measurement Data ◽  
Surface Velocity ◽  
Special Importance ◽  
Mountain Glacier ◽  
Surface Motion ◽  
Mountain Glaciers ◽  
3D Surface ◽  
Offset Tracking

The time series study of glacier movement is of special importance for rational management of freshwater resources, studying glacier evolution, understanding mechanism of glacier movement, and assessing disasters caused by glacier movement. In this paper, we put forward an optimization scheme for the shortcomings in the calculation method of using remote sensing to invert the three-dimensional (3D) surface motion displacement of glacier. The optimized method consists of Offset Tracking method, Optimizing the offset tracking results by means of iterative filtering, OT-SBAS technology and Conversion of 3D surface motion displacement of glacier. The Urumqi Glacier No. 1 was selected to test the optimized method. The 3D surface motion displacement of Urumqi Glacier No. 1 was retrieved by using the optimized method based on the ascending and descending Sentinel-1 datasets from 19 April to 29 August 2018. The distribution of 3D surface velocity of the Urumqi Glacier No. 1 was obtained in time series, and the accuracy of the inversion results was evaluated by using the field measurement data. The results show that the accuracies of the inverted displacements of east branch of Urumqi Glacier No. 1 (UG1E) were about 0.062, 0.063, and 0.152 m in the east, north and vertical directions, and these values for the west branch (UG1W) were 0.015, 0.020 and 0.026 m, respectively. It is indicated that using Sentinel-1 ascending and descending data and using the optimized method to retrieve the 3D surface motion displacement of glacier should satisfy the requirements of inversing the 3D surface motion displacement of high-latitude mountain glaciers in China.

Dynamic online visualization of PS-InSAR surface motion estimation results using WebGL

2016 ◽  
Vol 8 (2) ◽  
pp. 126-135
Author(s):  
Dong Liang ◽  
Timo Balz ◽  
Ziyun Wang ◽  
Lianhuan Wei ◽  
Mingsheng Liao
Keyword(s):  
Motion Estimation ◽  
Surface Motion
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