A new cloud detection algorithm for NOAA AVHRR imagery

Woo Hyoung Lee, J. Kudoh, S. Makino

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

For environmental monitoring of Earth's surface, one of the major problems is a detection of cloud-contaminated pixels. This paper describes a new automatic cloud detection algorithm. The method combines a threshold method using a local area parameter and clustering procedure. It has been successfully tested using AVHRR data of the Far East region which contains a mixture of land and ocean. Also, N-Land database results obtained with this scheme compared favorably with those obtained with the Saunders and Kriebel (1988) algorithm, which is one of the standard cloud detection procedures.

Original languageEnglish
Title of host publicationIEEE Region 10 Annual International Conference, Proceedings/TENCON
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages170-173
Number of pages4
ISBN (Electronic)0780357396, 9780780357396
DOIs
Publication statusPublished - 1999 Jan 1
Event1999 IEEE Region 10 Conference, TENCON 1999 - Cheju Island, Korea, Republic of
Duration: 1999 Sep 151999 Sep 17

Publication series

NameIEEE Region 10 Annual International Conference, Proceedings/TENCON
Volume1
ISSN (Print)2159-3442
ISSN (Electronic)2159-3450

Other

Other1999 IEEE Region 10 Conference, TENCON 1999
CountryKorea, Republic of
CityCheju Island
Period99/9/1599/9/17

ASJC Scopus subject areas

  • Computer Science Applications
  • Electrical and Electronic Engineering

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