NDLI: Implementing an algorithm for lossy compressing elevation data based on SPIHT

Content Provider	IEEE Xplore Digital Library
Author	Liqiang Zhang Chongjun Yang Zhanfu Yu Jianyu Yang Zhenguo Qian
Copyright Year	2004
Description	Author affiliation: Inst. of Remote Sensing Applications, Chinese Acad. of Sci., Beijing, China (Liqiang Zhang; Chongjun Yang; Zhanfu Yu; Jianyu Yang; Zhenguo Qian)
Abstract	Web-based visual simulation systems have to handle very large, even huge volumes of elevation data sets. Data compression is an effective mean for reducing space storage and transmission time of these data sets on the Internet. A novel scheme for lossy compression of elevation data using Set Partitioning in Hierarchical Trees (SPIHT) is studied in this paper. An optimal linear predictor is used to identify and remove the redundant information among the neighboring samples in the first stage. Then by exploiting the prosperities of SPIHT, an effective method based on SPIHT is developed to encode the residual elevation data. The algorithm has been applied to data from USGS digital elevation model, and the compressing results strongly suggest that the proposed lossy data compression scheme provides a practical way for elevation data compression.
Starting Page	2522
Ending Page	2523
File Size	326992
Page Count	2
File Format	PDF
ISBN	0780387422
DOI	10.1109/IGARSS.2004.1369808
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2004-09-20
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Image coding Data compression Remote sensing Computer networks Tree data structures Laboratories Internet Digital elevation models Costs Geographic Information Systems
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