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| 11. |
A review of: “The Earth's Surface Studied From Space”, Edited by S. G, UNGAR. (Oxford: Pergamon Press, Advances in Space Research, Vol. 5, No.5, 1985.) [Pp. 120.] Price £31·00. |
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International Journal of Remote Sensing,
Volume 7,
Issue 3,
1986,
Page 449-450
R. HARRIS,
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PDF (89KB)
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ISSN:0143-1161
DOI:10.1080/01431168608954698
出版商:Taylor & Francis Group
年代:1986
数据来源: Taylor
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| 12. |
A review of: “Proceedings ofthe SAR-580 Investigators Workshop”. (Joint Research Centre, Ispra, Italy, May 1984.) Investigators' Final Report, Volumes I and 2. Joint Research Centre: Volume 1, Reference S.A./1.04.E2.85.l2/1 [Pp. 168]; Volume 2, Reference S.A./1.04.E2.85.l2/2 [Pp. 598]. |
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International Journal of Remote Sensing,
Volume 7,
Issue 3,
1986,
Page 450-450
M. A. KEECH,
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PDF (46KB)
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ISSN:0143-1161
DOI:10.1080/01431168608954699
出版商:Taylor & Francis Group
年代:1986
数据来源: Taylor
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| 13. |
NEWS SECTION |
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International Journal of Remote Sensing,
Volume 7,
Issue 3,
1986,
Page 451-463
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PDF (493KB)
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ISSN:0143-1161
DOI:10.1080/01431168608954700
出版商:Taylor & Francis Group
年代:1986
数据来源: Taylor
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| 14. |
Estimation of sea-surface temperature from AVHRR data; comments on the paper by Singhet al. (1985) |
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International Journal of Remote Sensing,
Volume 7,
Issue 3,
1986,
Page 465-469
J. R. EYRE,
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PDF (163KB)
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摘要:
The method proposed by Singh et al. (1985) for estimating sea-surface temperature using one channel of the Advanced Very High Resolution Radiometer is shown to be, in its optimum form, mathematically equivalent to a simple linear regression method. The relationship between single-channel and split-window methods and the reasons for the superiority of the latter over the former are discussed.
ISSN:0143-1161
DOI:10.1080/01431168608954701
出版商:Taylor & Francis Group
年代:1986
数据来源: Taylor
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| 15. |
An improved hybrid classifier |
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International Journal of Remote Sensing,
Volume 7,
Issue 3,
1986,
Page 471-476
JA YOUNG KOO,
MYUNGHWAN KIM,
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PDF (149KB)
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摘要:
Abstract. A new hybrid classifier is proposed which utilizes the advantages of the maximum likelihood classifier and the parallelepiped classifier. The new hybrid classifier reduces the processing time more substantially than the conventional one by introducing a lower boundary for each class. The rate of misclassification is comparable to that of maximum likelihood classifier. Performance of the conventional and the new method are compared by an example.
ISSN:0143-1161
DOI:10.1080/01431168608954702
出版商:Taylor & Francis Group
年代:1986
数据来源: Taylor
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