【作者】 潘舒放；

【导师】 洪友堂；

【作者基本信息】 中国地质大学（北京） ， 摄影测量与遥感， 2009， 硕士

【摘要】 目前,卫星遥感技术已经在水灾、旱灾、森林火灾、地震、滑坡、泥石流等灾害的调查和灾损评估中得到广泛应用。由于卫星遥感的时间分辨率和空间分辨率的限制,对于灾害的事后分析有一定得价值,但基本不能满足减灾救灾灾情调查与评估的时效性要求。但是无人机遥感技术,可以弥补卫星遥感、航空遥感时效性差的不足。交互式数据语言IDL是一个面向数组的语言,因此广泛应用于数字遥感图像处理。经过30多年的发展,IDL语言进一步强化了图像处理、分析和显示功能,深受广大学者的欢迎。SIFT(尺度不变特征转换,Scale Invariant Feature Transform)是目前广泛应用且强健的特征点提取与特征点描述的方法。它最初作为一种关键点的特征提出来的,其主要思想是在尺度空间寻找极值点,提取位置,尺度,旋转不变量;广泛应用于影像融合、影像镶嵌等领域。本文将重点研究利用IDL语言,实现无人机遥感影像无地面控制点的自动拼接。首先对遥感影像进行镜头畸变和姿态参数同步纠正,然后采用SIFT算法进行自动化特征点描述,提取影像间的特征点,并进行特征点匹配,最终根据最小二乘法原理实现区域全景图的拼接。研究结果表明,采用SIFT算法提取特征点实现基于普通非量测相机无人机遥感系统获取的影像快速自动拼接在技术上是可行的,满足减灾救灾工作的突发性要求。更多还原

【Abstract】 At present, the satellite remote sensing technology has been widely applied in floods, droughts, forest fires, earthquakes, landslides, mudslides and other disasters and disaster damage assessment. Because of the limitation of temporal resolution and spatial resolution, satellite remote sensing images have a certain value for post-disaster analysis, and do not meet the timeliness requirements of disaster survey and assessment. UAV remote sensing technology can remedy detects of satellite remote sensing, aerial remote sensing.Interactive Data Language is an array-oriented language, it is widely used in remote sensing digital image processing. After more than 30 years development, the IDL strengthened the imagery processing, the analysis and the demonstration function. Many scholars want to use it.SIFT(Scale Invariant Feature Transform)is a widely used and robust feature points extraction and described method. It is initially as a key feature to be proposed. The main idea is to find extreme value in the scale space, extracting location, scale and rotation invariant. It is widely used in image fusion, image mosaics and other fields.This article will focus on the realization of UAV remote sensing image mosaic without ground control points. Firstly, image must be processed by lens distortion rectification and posture parameters simultaneous rectification; secondly, key points will be extracted and matched by SIFT algorithm; finally, image will be spliced by least square method.The results of this study show that it is feasible for image rapid automatic stitching by SIFT key point extraction. It also meets the disaster reduction and relief requirements.更多还原