Change detection of remote sensing images with semi-supervised multilayer perceptron

被引:0
作者
Patra, Swarnajyoti [3 ]
Ghosh, Susmita [3 ]
Ghosh, Ashish [1 ,2 ]
机构
[1] Indian Stat Inst, Machine Intelligence Unit, Kolkata 700108, India
[2] Indian Stat Inst, Ctr Soft Comp Res, Kolkata 700108, India
[3] Jadavpur Univ, Dept Comp Sci & Engn, Kolkata 700032, India
关键词
semi-supervised learning; remote-sensing; change-detection; multitemporal images; neural network;
D O I
暂无
中图分类号
TP31 [计算机软件];
学科分类号
081202 ; 0835 ;
摘要
A context-sensitive change-detection technique based on semi-supervised learning with multilayer perceptron is proposed here. In order to take contextual information into account, input patterns are generated considering each pixel of the difference image along with its neighboring pixels. A heuristic technique is suggested to identify a few initial labeled patterns without using ground truth information. The network is initially trained using these labeled data. The unlabeled patterns are iteratively processed by the already trained perceptron to obtain a soft class label. Experimental results, carried out on two multispectral and multitemporal remote sensing images, confirm the effectiveness of the proposed approach.
引用
收藏
页码:429 / 442
页数:14
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