Study on QuickBird Remote Sensing Image Fusion Based on CNN

ZHANG Wen-juan; KANG Jia-yin

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Study on QuickBird Remote Sensing Image Fusion Based on CNN

更新时间：2026-09-04

- Study on QuickBird Remote Sensing Image Fusion Based on CNN
- Vol. 28, Issue 10, Pages: 91-93(2011)
- 作者机构：
  
  1. 1 淮海工学院机构计算机工程学院,江苏,连云港,222005
  2. 2 江南大学物联网工程学院,江苏,无锡,214122
- 作者简介：
- 基金信息：
- DOI：
  CLC：
- Published：2011
- 稿件说明：
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张文娟, 康家银. 基于CNN的QuickBird遥感影像融合研究[J]. 微电子学与计算机, 2011, 28(10): 91-93,97.

ZHANG Wen-juan, KANG Jia-yin. Study on QuickBird Remote Sensing Image Fusion Based on CNN[J]. 2011, 28(10): 91-93.
张文娟, 康家银. 基于CNN的QuickBird遥感影像融合研究[J]. 微电子学与计算机, 2011, 28(10): 91-93,97. DOI：

ZHANG Wen-juan, KANG Jia-yin. Study on QuickBird Remote Sensing Image Fusion Based on CNN[J]. 2011, 28(10): 91-93. DOI：

摘要

为了充分利用QuickBird多光谱影像的光谱信息和全色影像的高空间分辨率信息

提出了一种基于细胞神经网络(CNN)的QuickBird多光谱和全色遥感影像融合方法.实验结果表明

相对于传统的影像融合算法

提出的方法具有更好的性能.

Abstract

In order to fully tutilize the spectral information of QuickBird multispectral image and the high spatial resolution information of QuickBird panchromatic image

this paper proposed an approach for fusing the QuickBird multispectral and panchromatic images using cellular neural network.Experiments indicate that proposed method outperforms the traditional approaches in preserving spectral information while improving spatial information.

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