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一种基于人工神经网络的遥感图像去条带方法 被引量:1

A Method Based on Neural Network for Removing the Striping of Remote Sensing Image
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摘要 由于非均匀性的影响,线阵列扫描得到的遥感图像容易出现条带失真,本文在介绍基于神经网络的非均匀性校正方法后,针对条带失真的特殊性对算法进行了改进,通过实验得到了很好的校正效果。 Striping is a new image degeneration caused by non-uniformity of the FPA. This paper presents the non-uniformity correction method based on neural network, and improves the arithmetic according to the particularity of distortion. The experiment shows availability of the correction.
出处 《电子设计应用》 2006年第5期88-88,90,91,共3页 Electronic Design & Application World
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  • 1曹治国,魏洛刚,张天序,桑农.基于神经网络法的焦平面器件非均匀性校正技术研究[J].红外与激光工程,2000,29(1):65-68. 被引量:18
  • 2Scribner. D.A et al.Physical Limitations to nonuniformity Correction in IR Focal Plane Arrays. Focal Plane Arrays: Technology and Application[].Proceedings of SPIE the International Society for Optical Engineering.1987
  • 3Scribner D A,Sarkady K A,Kruer M R,Caldfield J T,Hunt J,Colbert M,and Descour M.Adaptive nonuniformity correction for IR focal plane arrays using neural networks[].SPIE Proceeding.1991
  • 4Scribner D A,Sarkay K A,Caldfield J T,et al.Nonuniformity correction for staring focal plane arrays using scene-based techniques[].Proceedings of SPIE the International Society for Optical Engineering.1990

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