Neuro-Genetic Approach for Detecting Changes in Multitemporal Remotely Sensed Images

被引：0
|
作者：
Mandal, Aditi [1 ]
Ghosh, Susmita [2 ]
Ghosh, Ashish [3 ]
机构：
[1] Ixia Technol Pvt Ltd, Sect 5, Kolkata, India
[2] Jadavpur Univ, Dept Comp Engn & Sci, Kolkata 700032, W Bengal, India
[3] Indian Statist Inst, CSCR, Kolkata, India
来源：
PATTERN RECOGNITION AND MACHINE INTELLIGENCE | 2011年 / 6744卷
关键词：
Change detection; Hopfield type neural network; Genetic Algorithm; Remote sensing; Multitemporal images; NETWORKS;
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
In the present work the searching capability of Genetic Algorithms (GAs) is exploited to evolve suitable Hopfield type neural network architectures for optimum change detection of multitemporal remotely sensed images. Experiments carried out on two remote sensing images confirm the effectiveness of the proposed technique.
引用
收藏
页码：318 / 323
页数：6
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