Monitoring of Earth Surface Motion and Geomorphologic Processes by Optical Image Correlation

abstract Photographic measurements of the earth-surface displacement were made on the gnome event, an underground nuclear detonation near Carlsbad, New Mexico, November 1961. One long range and three short range photo stations were used to provide complementary coverage. Motionless inertia weights were measured against graduated targets rigidly anchored to the surface. The experiment is described in detail including target/weight arrangement, camera specifications, and photo station locations in relation to Surface Zero. Analysis of results from 6 films from close-in stations and one film from the long range station are reported. The peak displacement measured was slightly greater than six feet at a location 106 feet from surface zero.

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Measurement of Lateral Spread Displacements in Kaiapoi, New Zealand, from the 2010 Darfield Earthquake Using Optical Image Correlation

Geotechnical Earthquake Engineering and Soil Dynamics V ◽

10.1061/9780784481455.038 ◽

2018 ◽

Author(s):

J. Grant Martin ◽

Ellen Rathje

Keyword(s):

New Zealand ◽

Optical Image ◽

Image Correlation ◽

Lateral Spread ◽

Lateral Spread Displacements

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Coseismic surface displacement in the 2019 Ridgecrest earthquakes: Comparison of field measurements and optical image correlation results

Geochemistry Geophysics Geosystems ◽

10.1029/2020gc009326 ◽

2021 ◽

Author(s):

Ryan D Gold ◽

Christopher B DuRoss ◽

William D Barnhart

Keyword(s):

Surface Displacement ◽

Field Measurements ◽

Optical Image ◽

Image Correlation

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Optical Image Correlation Using A Deformable Mirror Device: A Feasibility Study

10.1117/12.939944 ◽

1987 ◽

Author(s):

Michael Giles ◽

Javin Taylor ◽

Norma Grijalva ◽

Bryan Gioannini

Keyword(s):

Feasibility Study ◽

Optical Image ◽

Image Correlation ◽

Deformable Mirror

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

Sensors ◽

10.3390/s20164396 ◽

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.

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