计算机工程与应用 ›› 2008, Vol. 44 ›› Issue (1): 171-172.

• 工程与应用 • 上一篇    下一篇

基于BP神经网络的遥感图像超分辨率重建

丁海勇1,2,卞正富1   

  1. 1.中国矿业大学 环测学院,江苏 徐州 221008
    2.山东农业大学 信息学院,山东 泰安 271018
  • 收稿日期:1900-01-01 修回日期:1900-01-01 出版日期:2008-01-01 发布日期:2008-01-01
  • 通讯作者: 丁海勇

Remote sensed image super-resolution reconstruction based on BP neural network

DING Hai-yong1,2,BIAN Zheng-fu1   

  1. 1.School of Environment and Spatial Informatics of CUMT,Xuzhou,Jiangsu 221008,China
    2.College of Information,Shandong Agricultural University,Tai’an,Shandong 271018,China
  • Received:1900-01-01 Revised:1900-01-01 Online:2008-01-01 Published:2008-01-01
  • Contact: DING Hai-yong

摘要: 介绍了一种利用BP神经网络由低空间分辨率遥感图像序列重建得到一幅较高空间分辨率图像的算法。给出了重建过程,并且通过实验数据对算法进行了验证。

关键词: 神经网络, 超分辨率, 遥感, 插值

Abstract: A BP neural network is used to reconstruct a high spatial resolution remote sensed image from low spatial resolution images sequences.The procedure was introduced and the algorithm was verified by means of the experiment datum.

Key words: neural network, super-resolution, remote sense, interpolation