哈尔滨工业大学学报（英文版）2003，Vol.10Issue(3)：235-240,6.
Multimodality image registration and fusion using neural network
Multimodality image registration and fusion using neural network
Mostafa G Mostafa 1Aly A Farag 1Edward Essock2
作者信息
- 1. Computer Vision and Image Processing Laboratory, Dept. of Electrical and Computer Engineering, University of Louisville, Louisville KY 40292,USA
- 2. Dept. of Psychology, University of Louisville, Louisville KY 40292, USA
- 折叠
摘要
Abstract
Multimodality image registration and fusion are essential steps in building 3-D models from remotesensing data. We present in this paper a neural network technique for the registration and fusion of multimodali-ty remote sensing data for the reconstruction of 3-D models of terrain regions. A FeedForward neural network isused to fuse the intensity data sets with the spatial data set after learning its geometry. Results on real data arepresented. Human performance evaluation is assessed on several perceptual tests in order to evaluate the fusionresults.关键词
data fusion/image registration/image interpolation/neural network, 3-D model buildingKey words
data fusion/image registration/image interpolation/neural network, 3-D model building分类
信息技术与安全科学引用本文复制引用
Mostafa G Mostafa,Aly A Farag,Edward Essock..Multimodality image registration and fusion using neural network[J].哈尔滨工业大学学报（英文版）,2003,10(3):235-240,6.
