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A Fast Dense Feature Tracking Routine with its Application in Cryosphere Remote Sensing Using Sentinel-1 and Landsat-8 Data

Lei, Yang and Gardner, Alex and Agram, Piyush (2020) A Fast Dense Feature Tracking Routine with its Application in Cryosphere Remote Sensing Using Sentinel-1 and Landsat-8 Data. In: 2020 IEEE International Geoscience and Remote Sensing Symposium (IGARSS 2020). IEEE , Piscataway, NJ, pp. 2743-2746. ISBN 9781728163741. https://resolver.caltech.edu/CaltechAUTHORS:20210225-102221469

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Abstract

In this paper, we present a fast and intelligent routine for dense feature tracking with almost two orders of magnitude runtime improvement over conventional dense cross-correlation techniques. This routine consists of two novel modules: 1) “autoRIFT”, an efficient and intelligent dense cross-correlater with nested grid design, sparse/dense combinative searching strategy and disparity filtering technique; 2) “Geogrid”, the precise geocoding component that supports pointwise mapping between imaging coordinates (pixel location and displacement) and geographic Cartesian coordinates (geolocation and displacement velocity). autoRIFT can run on a grid in the native imaging coordinates (such as radar or map) and, when used in conjunction with the Geogrid module, on a user-defined grid in a geographic Cartesian coordinate system such as Universal Transverse Mercator or Polar Stereographic. Here we demonstrated its application in tracking ice displacement and validated with ESA's Sentinel-1A/B radar and NASA's Landsat-8 optical data.


Item Type:Book Section
Related URLs:
URLURL TypeDescription
https://doi.org/10.1109/igarss39084.2020.9323412DOIArticle
https://its-live.jpl.nasa.govRelated ItemITS LIVE Project
ORCID:
AuthorORCID
Lei, Yang0000-0002-8377-1980
Gardner, Alex0000-0002-8394-8889
Additional Information:© 2020 IEEE. This effort was funded by the NASA MEaSUREs program in contribution to the Inter-mission Time Series of Land Ice Velocity and Elevation (ITS LIVE) project (https://its-live.jpl.nasa.gov/) and through Alex Gardner’s participation in the NASA NISAR Science Team
Funders:
Funding AgencyGrant Number
NASAUNSPECIFIED
Subject Keywords:feature tracking, speckle tracking, optical, radar, spaceborne, satellite images, surface displacement, glacier flow, glacier velocity, earthquake displacement, landslide, remote sensing, land ice displacement
Record Number:CaltechAUTHORS:20210225-102221469
Persistent URL:https://resolver.caltech.edu/CaltechAUTHORS:20210225-102221469
Official Citation:Y. Lei, A. Gardner and P. Agram, "A Fast Dense Feature Tracking Routine with its Application in Cryosphere Remote Sensing Using Sentinel-1 and Landsat-8 Data," IGARSS 2020 - 2020 IEEE International Geoscience and Remote Sensing Symposium, Waikoloa, HI, USA, 2020, pp. 2743-2746, doi: 10.1109/IGARSS39084.2020.9323412
Usage Policy:No commercial reproduction, distribution, display or performance rights in this work are provided.
ID Code:108194
Collection:CaltechAUTHORS
Deposited By: Tony Diaz
Deposited On:25 Feb 2021 19:23
Last Modified:25 Feb 2021 19:23

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