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Titlebook: Neurocomputation in Remote Sensing Data Analysis; Proceedings of Conce Ioannis Kanellopoulos,Graeme G. Wilkinson (Head),J Conference procee

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書目名稱Neurocomputation in Remote Sensing Data Analysis
副標題Proceedings of Conce
編輯Ioannis Kanellopoulos,Graeme G. Wilkinson (Head),J
視頻videohttp://file.papertrans.cn/664/663956/663956.mp4
概述Application of neural networks in remote sensing - Combination of advanced computing techniques and operational remote sensing needs - Presentation of state of the art techniques used across Europe fo
圖書封面Titlebook: Neurocomputation in Remote Sensing Data Analysis; Proceedings of Conce Ioannis Kanellopoulos,Graeme G. Wilkinson (Head),J Conference procee
描述Since 1994 the European Commission has been supporting activities under the Environment and Climate programme of research and technological de- velopment, with the aim of developing cost-effective applications of satellite Earth observation (EO) for both environmental monitoring and research. This action has included support to methodological research, aimed at the development and evaluation of new techniques forming part ofthe chain of processing needed to transform data into useful information. Wherever appropriate, the Commission has emphasised the coordination of ongoing research funded at the national level, through the mechanism of concerted actions. Concerted actions are flexible and efficient means to marshal efforts at the European level for a certain period. They are proposed by groups of researchers active in a given field who have identified the added value to be gained by European cooperation, whilst continuing to pursue their own individual projects. In view of the rapid developments in the field of neural network over the last 10 years, together with the growing interest ofthe Earth observation community in this approach as a tool for data interpretation, the Commiss
出版日期Conference proceedings 1997
關(guān)鍵詞Augmented Reality; Map; Multispectral Image Classification; Neural Networks; Remote Sensing; Satellite Im
版次1
doihttps://doi.org/10.1007/978-3-642-59041-2
isbn_softcover978-3-642-63828-2
isbn_ebook978-3-642-59041-2
copyrightSpringer-Verlag Berlin · Heidelberg 1997
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Neural Nets and Multichannel Image Processing Applications,eural network structures, perfectly suited for such purposes due to the accuracy and high speed of computation. The proposed framework handles multichannel data in a compact form and, thus, it is directly applicable to remote sensing.
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Conference proceedings 1997ent, with the aim of developing cost-effective applications of satellite Earth observation (EO) for both environmental monitoring and research. This action has included support to methodological research, aimed at the development and evaluation of new techniques forming part ofthe chain of processin
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Non-Linear Diffusion as a Neuron-Like Paradigm for Low-Level Vision, processing is presented, that is based on the evolution of coupled, non-linear diffusion equations. The illustrations are focussed on feature preserving noise reduction, but the framework is more general.
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