Unsupervised change detection in remote-sensing images using one-dimensional self-organizing feature map neural network

被引：0
|
作者：
Patra, Swarnajyoti [2 ]
Ghosh, Susmita [2 ]
Ghosh, Ashish [1 ]
机构：
[1] Jadavpur Univ, Dept Comp Sci & Engn, Kolkata 700032, W Bengal, India
[2] Indian Stat Inst, Machine Intelligence Unit & CSCR, Kolkata, India
来源：
ICIT 2006: 9TH INTERNATIONAL CONFERENCE ON INFORMATION TECHNOLOGY, PROCEEDINGS | 2006年
关键词：
D O I：
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中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
In this paper we propose an unsupervised change-detection technique based on Self-Organizing Feature Map neural network that discriminates the "difference image" by constructing two clusters. In the proposed network, the number of input neurons is equal to the dimension of the input pattern while the number of output neurons is two. To confirm the effectiveness of the proposed technique a comparative study is made with another existing context-sensitive technique.
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页码：141 / +
页数：2
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