Open Access
,
volume 9
,
issue 7
,
pages 2923-2939
Adaptation and Evaluation of an Optical Flow Method Applied to Coregistration of Forest Remote Sensing Images
1
DTIM, ONERA, Palaiseau, France
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Publication type: Journal Article
Publication date: 2016-07-15
scimago Q1
wos Q1
SJR: 1.349
CiteScore: 9.3
Impact factor: 5.3
ISSN: 19391404, 21511535
Atmospheric Science
Computers in Earth Sciences
Abstract
The coregistration of heterogeneous geospatial images is useful in various remote sensing applications. Since the number of available data increases and the resolution improves, it is interesting to have an approach as automated, fast, robust, and accurate as possible. In this paper, we present a solution based on optical-flow computation. This algorithm called GeFolki allows the registration of images in a nonparametric and dense way. GeFolki is based on a local method of optical flow derived from the Lucas-Kanade algorithm, with a multiscale implementation, and a specific filtering including rank filtering, rolling guidance filtering and local contrast inversion. The efficiency of our coregistration chain is shown on radar, LIDAR, and optical images on Remningstorp forest in Sweden. An analysis of the relevant parameters is investigated for several scenarios. Finally, we demonstrate the accuracy of our coregistration by proposing specific metrics for LIDAR/radar coregistration, and optics/radar coregistration.
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Total citations:
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Citations from 2024:
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GOST
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Brigot G. et al. Adaptation and Evaluation of an Optical Flow Method Applied to Coregistration of Forest Remote Sensing Images // IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 2016. Vol. 9. No. 7. pp. 2923-2939.
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Brigot G., Colin‐Koeniguer E., Plyer A., Janez F. Adaptation and Evaluation of an Optical Flow Method Applied to Coregistration of Forest Remote Sensing Images // IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 2016. Vol. 9. No. 7. pp. 2923-2939.
Cite this
RIS
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TY - JOUR
DO - 10.1109/jstars.2016.2578362
UR - https://doi.org/10.1109/jstars.2016.2578362
TI - Adaptation and Evaluation of an Optical Flow Method Applied to Coregistration of Forest Remote Sensing Images
T2 - IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
AU - Brigot, Guillaume
AU - Colin‐Koeniguer, Elise
AU - Plyer, Aurélien
AU - Janez, Fabrice
PY - 2016
DA - 2016/07/15
PB - Institute of Electrical and Electronics Engineers (IEEE)
SP - 2923-2939
IS - 7
VL - 9
SN - 1939-1404
SN - 2151-1535
ER -
Cite this
BibTex (up to 50 authors)
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@article{2016_Brigot,
author = {Guillaume Brigot and Elise Colin‐Koeniguer and Aurélien Plyer and Fabrice Janez},
title = {Adaptation and Evaluation of an Optical Flow Method Applied to Coregistration of Forest Remote Sensing Images},
journal = {IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing},
year = {2016},
volume = {9},
publisher = {Institute of Electrical and Electronics Engineers (IEEE)},
month = {jul},
url = {https://doi.org/10.1109/jstars.2016.2578362},
number = {7},
pages = {2923--2939},
doi = {10.1109/jstars.2016.2578362}
}
Cite this
MLA
Copy
Brigot, Guillaume, et al. “Adaptation and Evaluation of an Optical Flow Method Applied to Coregistration of Forest Remote Sensing Images.” IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 9, no. 7, Jul. 2016, pp. 2923-2939. https://doi.org/10.1109/jstars.2016.2578362.