NDLI: A combined approach for ice sheet elevation extraction from lidar point clouds

Content Provider	IEEE Xplore Digital Library
Author	Jie Yang Kerekes, J.
Copyright Year	2014
Description	Author affiliation: Chester F. Carlson Center for Imaging Sci., Rochester Inst. of Technol., Rochester, NY, USA (Jie Yang; Kerekes, J.)
Abstract	Understanding the total mass balance of Earth's polar cryosphere is a significant aspect of estimating sea level rise due to climate change. Measuring ice sheet elevation and ground height is essential for determining the total glacier mass balance. Satellite-based and airborne photon-counting lidar sensors, such as the upcoming Ice, Cloud and land Elevation Satellite 2 (ICESat-2), will provide accurate measurements of local topographical changes along space and time. Point clouds obtained from DIRSIG simulations are critical for scientists to develop algorithms that will be used for the upcoming ICESat-2 mission because they provide area truth for comparison. Three previous elevation-retrieval algorithms are reviewed and a new combined approach is presented. Results show that the combined approach can improve the accuracy when compared with only one of the previous three approaches.
Starting Page	15
Ending Page	18
File Size	597622
Page Count	4
File Format	PDF
ISBN	9781479977024
e-ISBN	9781479977031
DOI	10.1109/WNYIPW.2014.6999477
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-11-07
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Algorithm design and analysis Image-based approach Noise Data mining Photonics DIRSIG Modified DBSCAN Analytical models Laser radar Three-dimensional displays Point clouds Statistical bins and modes Combined approach
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

Automatic extraction of salient geometric entities from LIDAR point clouds

A Novel Method for Linear Features Extraction from Raw LiDAR Point Clouds

An Adaptive Density-Based Model for Extracting Surface Returns From Photon-Counting Laser Altimeter Data

Automatic markerless registration of mobile LiDAR point-clouds

Automation of object extraction from LiDAR in urban areas

A Simple Visual Odometry Approach Based on Point Clouds

Extraction 3D road boundaries from mobile laser scanning point clouds

Automatic extraction method of independent features based on elevation projection of point clouds and morphological characters of ground object

Ground target detection in LiDAR point clouds using AdaBoost

A combined approach for ice sheet elevation extraction from lidar point clouds

Similar Documents

Automatic extraction of salient geometric entities from LIDAR point clouds

A Novel Method for Linear Features Extraction from Raw LiDAR Point Clouds

An Adaptive Density-Based Model for Extracting Surface Returns From Photon-Counting Laser Altimeter Data

Automatic markerless registration of mobile LiDAR point-clouds

Automation of object extraction from LiDAR in urban areas

A Simple Visual Odometry Approach Based on Point Clouds

Extraction 3D road boundaries from mobile laser scanning point clouds

Automatic extraction method of independent features based on elevation projection of point clouds and morphological characters of ground object

Ground target detection in LiDAR point clouds using AdaBoost

A combined approach for ice sheet elevation extraction from lidar point clouds