无人机载框幅式高光谱影像的波段配准研究

发布时间：2018-01-10 11:02

  本文关键词：无人机载框幅式高光谱影像的波段配准研究　出处：《中国农业资源与区划》2017年09期 　论文类型：期刊论文

  更多相关文章： 高光谱 无人机 波段配准 框幅式 匹配策略

【摘要】：[目的]高光谱成像技术在卫星遥感平台上由于飞行高度与技术限制等原因无法满足当前对于智慧农业与精准农业的需求,无人机平台的出现可以有效地弥补这一问题,给精细化、定量化研究农田信息提供数据支持。受平台稳定性,荷载能力等因素的制约,传统的推扫式高光谱成像仪不适用于无人机平台,而框幅式成像仪的应用前景较为广泛。但此类成像仪由于成像原理等因素的影响,获取的波段图像间存在姿态与位置差异,无法直接投入到后期应用中,在投入使用前需要进行波段配准。[方法]结合传统基于特征点的配准方法针对波段配准展开研究,对图像间灰度与位置差异对配准精度的影响进行了深入分析,针对传统的研究方法在匹配灰度存在非线性变换的图像上不足等问题,设计了两组匹配策略实验,分别为拍摄顺序的配准实验对比与波段顺序的配准实验对比。[结果]通过实验对比证明在引入拍摄顺序的变换基准的匹配策略下可以自动且稳定完成配准任务,此方法下配准精度可以达到亚像元级。[结论]文章所提方法兼顾了波段顺序与拍摄顺序,匹配结果可达亚像元级,是较优的匹配策略。
[Abstract]:[Objective] Hyperspectral imaging technology in satellite remote sensing platform because of flight altitude and technical constraints and other reasons can not meet the current demand for intelligent agriculture and precision agriculture. The emergence of UAV platform can effectively remedy this problem and provide data support for fine and quantitative research of farmland information. It is restricted by the stability of platform and load capacity. The traditional push-sweep hyperspectral imager is not suitable for the UAV platform, but the frame imager has a wide application prospect. However, this kind of imager is affected by the imaging principle and other factors. Due to the difference of attitude and position between the acquired waveband images, it can not be directly applied to the later application, and the band registration is needed before it is put into use. [Methods] based on the traditional feature-based registration method, the influence of image gray and position difference on registration accuracy is analyzed. In order to solve the problem that the traditional research method has the problem of nonlinear transformation in image matching grayscale, two groups of matching strategy experiments are designed, which are the comparison of the registration experiment of shooting sequence and the registration experiment of band sequence, respectively. [Results] the experimental results show that the registration task can be completed automatically and stably under the matching strategy with the transformed datum of shooting sequence, and the registration accuracy can reach sub-pixel level. [Conclusion] the method proposed in this paper takes into account both the band sequence and the shooting sequence, and the matching result can reach sub-pixel level, so it is a better matching strategy.
【作者单位】： 中国农业科学院农业资源与农业区划研究所/农业部农业信息技术重点实验室;山东交通学院交通土建工程学院;
【基金】：国家重点研发计划课题“玉米生长与生产力近地面实时监测预测”(2016YFD0300602)
【分类号】：TP751
【正文快照】： 0引言随着遥感技术的迅速发展,人们对地探测的精度需求越来越高,而高光谱技术具有图谱合一、高光谱分辨率、信息量丰富等优势,成为了定量遥感的前沿技术之一,给定量化理解地面信息开辟了新的领域[|?2],其在农业领域得到了广泛应用[23J4]。同时,由于高光谱技术不仅可以准确的，

本文编号：1404993