论文:2015,Vol:33,Issue(6):1027-1034
引用本文:
刘岩, 樊晓桠. 基于飞行模拟机视景的卫星遥感数据图像处理关键技术探讨[J]. 西北工业大学学报
Liu Yan, Fan Xiaoya. Key Technologies of Satellite Remote Sensing Data Image Processing Based Flight Simulator Visual[J]. Northwestern polytechnical university

基于飞行模拟机视景的卫星遥感数据图像处理关键技术探讨
刘岩1,2, 樊晓桠1
1. 西北工业大学, 陕西 西安 710072;
2. 珠海翔翼航空技术有限公司, 广州 珠海 519015
摘要:
依据卫星遥感数据的特点,探讨了卫星遥感数据的校正、波段组合、融合处理以及色彩调整等方面在飞行仿真中进行处理的关键技术。并针对拉萨机场的遥感影像,通过使用高分辨率遥感处理软件ERDAS,以QB、SPOT5和ALOS数据,尝试用不同的数学方法和参数设置进行实验,以期寻求其中规律性的参数,最终生成满足系统要求的整个机场飞行程序覆盖区域的卫星影像。
关键词:    计算机软件    数据融合    误差分析    误差    特征提取    几何形状    图像融合    图像匹配    像素    主成分分析    遥感    卫星地形    色彩调整    模拟飞行    地理特征提取    卫星图像校正   
Key Technologies of Satellite Remote Sensing Data Image Processing Based Flight Simulator Visual
Liu Yan1,2, Fan Xiaoya1
1. Northwestern Polytechnical University, Xi'an 710072, China;
2. Zhuhai Xiangyi Aviation Technology Company Limited, Zhuhai 519015, China
Abstract:
In this paper, the spectral characteristics of based on Satellite remote sensing data, remote sensing data to explore Worldview Ortho-rectification, band combination, integration and other aspects of processing and color adjustments in flight simulation processing key technologies. Base on Lhasa airport Satellite images,By using with high-resolution processing software ERDAS remote sensing applications, QB and SPOT5 and ALOS data used in the experiment to try different mathematical methods and parameters, where the parameters are summarized regularity, the resulting imagery meets the system requirements of the whole airport flight procedures coverage area.
Key words:    computer software    data fusion    error analysis    errors    feature extraction    geometry    image fusion    image matching    least square approximations    pixels    principal component analysis    remote sensing    satellite topography    color adjustment    flight simulation    geographic feature extraction    satellite image correction   
收稿日期: 2015-04-12     修回日期:
DOI:
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作者简介: 刘岩(1971—),西北工业大学硕士研究生,主要从事图形图像处理三维仿真与飞行模拟机视景研究。
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