NDLI: Category extraction using NOAA AVHRR images

Content Provider	IEEE Xplore Digital Library
Author	Kawano, K. Kudoh, J.-I.
Copyright Year	2001
Description	Author affiliation: Graduate Sch. of Inf. Sci., Tohoku Univ., Sendai, Japan (Kawano, K.)
Abstract	We have developed a new image processing method for the analysis of NOAA AVHRR data using the 3 dimensional histogram (Kudoh and Noguchi 1991). This method is based on the 3 dimensional histogram technique that can visualize the same properties of multispectral images as a mass in the 3 dimensional space. This method is composed of 2 processes. One is the learning process that gathers 3 dimensional histograms of NOAA AVHRR image scenes classified as the sea category by oceanography researchers. The other is the recognition process that automatically extracts the sea category for the unknown image scenes by using the only one 3 dimensional histogram obtained from the learning process. A feature of this method is that the recognition rate of the sea category can be improved as much as you want by using the NOAA AVHRR data received every day. We applied two methods to extract the sea category of the NOAA AVHRR images and compared them with the results from oceanography researchers. The results showed a more than 90% recognition rate for almost all scenes.
Starting Page	2319
Ending Page	2321
File Size	1252017
Page Count	3
File Format	PDF
ISBN	0780370317
DOI	10.1109/IGARSS.2001.977988
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2001-07-09
Publisher Place	Australia
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Histograms Brightness Layout Data mining Infrared imaging Multispectral imaging Pixel Clouds Character generation Image processing
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

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