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科研机构
武汉大学 [2]
遥感与数字地球研究所 [1]
内容类型
会议论文 [3]
发表日期
2012 [2]
2008 [1]
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POST-CLASSIFICATION APPROACH BASED ON GEOSTATISTICS TO REMOTE SENSING IMAGES : SPECTRAL AND SPATIAL INFORMATION FUSION
会议论文
作者:
Yao, N.
;
Lin, Z. J.
;
Zhang, J. X.
;
Ren, C. F.
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浏览/下载:1/0
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提交时间:2019/12/05
Classification
Information
Fusion
Spectral
Spatial
Geostatistics
Kriging
INTEGRATED FUSION METHOD FOR MULTIPLE TEMPORAL-SPATIAL-SPECTRAL IMAGES
会议论文
作者:
Shen, Huanfeng
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提交时间:2019/12/05
Data fusion
remote sensing
multiple temporal-spatial-spectral images
Improved best tradeoff for high-resolution image fusion based on spectral reflection function
会议论文
International Conference on Earth Observation Data Processing and Analysis, ICEODPA,, Wuhan, China, December 28, 2008 - December 30,2008
Wang, Zhongwu
;
Zhao, Zhongming
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提交时间:2014/12/07
This paper extended the best tradeoff fast intensity-hue-saturation (BTFIHS) fusion to a more general model. Firstly
based-on the methods proposed by previous researches
we integrated injecting strategy of spatial detail information into the fusion model and also adopted the idea of BTFIHS to keep the intensity unchanged with the corresponding pixel in panchromatic (PAN) image
while the hue and saturation of every pixel using BTFIHS were equal to them using tradeoff fast intensity-hue-saturation (TFIHS). Then we got a general formula of the improved best tradeoff for high-resolution image fusion based-on getting injecting parameter by spectral reflection function (SRF). At last
several experiments were carried on to analysis and discuss the quality of the new methods compared with their originals. Results show that the new method could yield a "true" high-resolution multispectral (MS) image
with vast improvement in blue band and nearly 3.3% improvement in Q4 for all bands. 2008 SPIE.
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