NDLI: Detection of buildings from Landsat-7 ETM+ and SPOT panchromatic data in Beijing, China

Content Provider	IEEE Xplore Digital Library
Author	Qiaofeng Zhang Jinfei Wang
Copyright Year	2002
Description	Author affiliation: Dept. of Geogr., Univ. of Western Ontario, London, Ont., Canada (Qiaofeng Zhang; Jinfei Wang)
Abstract	The city of Beijing is going through a rapid developing period, both in the suburbs and inside the old city. To detect the buildings developed in and around the city at present, Landsat-7 ETM+ and SPOT panchromatic imagery of 2001 were collected. To make use of higher spatial resolution of the SPOT panchromatic imagery and higher spectral resolution of the ETM+ imagery, the two data sources were fused. To reduce the confusion between urban built-up areas and non built-up areas, an unsupervised classification was performed first. Agricultural and large urban green and open areas such as parks and lakes were separated from other built-up areas. Major roads were mapped from ETM+ band8. Buildings were then extracted from the SPOT PAN imagery within the built-up areas using a set of proposed high-pass filters. Traditional Chinese-style houses, which are small in size and unidentifiable individually from the satellite imagery, were not detected. Our result shows that many medium-to-large buildings of regular arrangement can be mapped from the fused dataset. The buildings extracted from the satellite imagery can provide useful information for urban change detection and environmental management.
Sponsorship	IEEE IEEE Geosci. & Remote Sensing Soc. Canadian Remote Sensing Soc. Univ. Waterloo Natural Resources Canada (NRCan) Canadian Space Agency (CSA) Environ. Canada NASA Nat. Oceanic & Atmos. Adm. (NOAA) Office of Naval Res.(ONR) Nat. Space Dev. Agency of Japan (NASDA) Nat. Polar-orbiting Environ. Satellite Syst. (NPOESS)
Starting Page	2977
Ending Page	2979
File Size	352453
Page Count	3
File Format	PDF
ISBN	078037536X
DOI	10.1109/IGARSS.2002.1026841
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2002-06-24
Publisher Place	Canada
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Satellites Remote sensing Cities and towns Spatial resolution Image resolution Lakes Roads Filters Data mining Environmental management
Content Type	Text
Resource Type	Article

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
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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
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