A New Analytical Method for Estimating Antarctic Ice Flow in the 1960s From Historical Optical Satellite Imagery

Li, Rongxing; Ye, Wenkai; Qiao, Gang; Tong, Xiaohua; Liu, Shijie; Kong, Fan; Ma, Xianjue

doi:10.1109/tgrs.2017.2654484

Cited by 38 publications

(48 citation statements)

References 47 publications

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“…Although in such a case the complexity of the system may be involved, the quality of outputs is also increased. In the case of very fast simulation processes, the synchronization of both sensors become a critical issue, to be obtained using solution at hardware or image-processing level (see Raguse and Heipke, 2009;Li et al, 2017).…”

Section: State-of-the-artmentioning

confidence: 99%

Image-Based Reconstruction and Analysis of Dynamic Scenes in a Landslide Simulation Facility

Scaioni

Crippa

Longoni

et al. 2017

ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci.

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ABSTRACT:The application of image processing and photogrammetric techniques to dynamic reconstruction of landslide simulations in a scaleddown facility is described. Simulations are also used here for active-learning purpose: students are helped understand how physical processes happen and which kinds of observations may be obtained from a sensor network. In particular, the use of digital images to obtain multi-temporal information is presented. On one side, using a multi-view sensor set up based on four synchronized GoPro 4 Black ® cameras, a 4D (3D spatial position and time) reconstruction of the dynamic scene is obtained through the composition of several 3D models obtained from dense image matching. The final textured 4D model allows one to revisit in dynamic and interactive mode a completed experiment at any time. On the other side, a digital image correlation (DIC) technique has been used to track surface point displacements from the image sequence obtained from the camera in front of the simulation facility. While the 4D model may provide a qualitative description and documentation of the experiment running, DIC analysis output quantitative information such as local point displacements and velocities, to be related to physical processes and to other observations. All the hardware and software equipment adopted for the photogrammetric reconstruction has been based on low-cost and open-source solutions.

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Section: State-of-the-artmentioning

confidence: 99%

Image-Based Reconstruction and Analysis of Dynamic Scenes in a Landslide Simulation Facility

Scaioni

Crippa

Longoni

et al. 2017

ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci.

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“…After this process, the speed map and DTM were generated, respectively. The flow of processing includes hierarchically image matching through the top to the bottom level of the image pyramids, the matching process using normalized cross correlation (NCC) and triangulated irregular network (TIN) constraints, determination of the ice flow direction , parallax decomposition and estimation of the ice flow speed (Li et al, 2011;Li et al, 2016;Li et al, 2017).…”

Section: Parallax-decomposition-based Hierarchically Image Matchingmentioning

confidence: 99%

ICE VELOCITY MEASUREMENT IN EAST ANTARCTICA FROM 1960s TO 1980s BASED ON ARGON AND LANDSAT IMAGERY

Cheng

et al. 2017

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci.

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ABSTRACT:Ice flow velocity is a vital parameter for estimating the ice mass balance of glaciers in Antarctica. Especially long time serial observation of the surface velocity is of great significance to assessing the relationship between Antarctic ice materials and global climate change. However, the existing research on Antarctic ice velocity based on remote sensing data since 1970s due to the harsh climate in Antarctica. This paper presents an ice flow velocity estimating method includes image pre-processing, geometric model reconstruction, image ortho-rectification and feature matching by using ARGON images token in 1963 and Landsat images collected form 1973 to 1989.Considering the temporal-spatial distributions of ARGON images and Landsat images in Antarctica, two different methods respectively based on ortho-photos pair and Non-Ortho photos are adopted in this paper. More specifically, when there exist two stereo pairs taken in different time in the glacier region, after being ortho-rectified, the stereo pairs can be used to calculate ice flow velocity based on feature matching method. Otherwise, a parallax decomposition method that separates the effect of the terrain relief from the ice flow motion is applied when there only exists one stereo pair with a certain time interval. With this method, glacier surface velocity is available in the glacier region lacked enough stereo pairs. The methods mentioned above for estimating ice flow velocity are applied in Totten, Amery and Fimbul, etc. in eastern Antarctica. Furthermore, a 1960-80s ice flow speed map in the main glaciers of East Antarctica is produced for the first time.

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“…The DEM extraction procedure was carried out by using the ERDARS 2014 Leica Photogrammetric Suite (LPS). The enhanced Automatic Terrain Extraction (eATE) module is used for DEM (digital elevation model) derivation, which performs a coarse-to-fine hierarchical matching process with 5 layers (Li et al, 2017). The NCC (normalized correlation coefficient) matching window is set as 11 by 11 pixels with search window of 25 by 25 pixels, and the top layer correlation coefficient threshold was set as 0.9 to ensure the accuracy of matching propagation of down-layers.…”

Section: Dem Extractionmentioning

confidence: 99%

Experimental Dem Extraction From Aster Stereo Pairs and 3d Registration Based on Icesat Laser Altimetry Data in Upstream Area of Lambert Glacier, Antarctica

Hai

Xie

Chen

et al. 2017

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci.

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ABSTRACT:DEM Extraction from ASTER stereo pairs and three-dimensional registration by reference to ICESat laser altimetry data are carried out in upstream area of Lambert Glacier, East Antarctica. Since the study area is located in inland of East Antarctica where few textures exist, registration between DEM and ICESat data is performed. Firstly, the ASTER DEM generation is based on rational function model (RFM) and the procedure includes: a) rational polynomial coefficient (RPC) computation from ASTER metadata, b) L1A image product de-noise and destriping, c) local histogram equalization and matching, d) artificial collection of tie points and bundle adjustment, and e) coarse-to-fine hierarchical matching of five levels and grid matching. The matching results are filtered semi-automatically. Hereafter, DEM is interpolated using spline method with ground points converted from matching points. Secondly, the generated ASTER DEM is registered to ICESat data in three-dimensional space after Least-squares rigid transformation using singular value decomposition (SVD). The process is stated as: a) correspondence selection of terrain feature points from ICESat and DEM profiles, b) rigid transformation of generated ASTER DEM using selected feature correspondences based on least squares technique. The registration shows a good result that the elevation difference between DEM and ICESat data is low with a mean value less than 2 meters and the standard deviation around 7 meters. This DEM is generated and specially registered in Antarctic typical region without obvious ground rock control points and serves as true terrain input for further radar altimetry simulation.

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A New Analytical Method for Estimating Antarctic Ice Flow in the 1960s From Historical Optical Satellite Imagery

Cited by 38 publications

References 47 publications

Image-Based Reconstruction and Analysis of Dynamic Scenes in a Landslide Simulation Facility

Image-Based Reconstruction and Analysis of Dynamic Scenes in a Landslide Simulation Facility

ICE VELOCITY MEASUREMENT IN EAST ANTARCTICA FROM 1960s TO 1980s BASED ON ARGON AND LANDSAT IMAGERY

Experimental Dem Extraction From Aster Stereo Pairs and 3d Registration Based on Icesat Laser Altimetry Data in Upstream Area of Lambert Glacier, Antarctica

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