Automatic Extraction of Control Points for the Registration of Optical Satellite and LiDAR Images

Palenichka R. M.; Zaremba M. B.

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Automatic Extraction of Control Points for the Registration of Optical Satellite and LiDAR Images

机译：自动提取控制点以配准光学卫星和LiDAR图像

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摘要

A novel method for automatic extraction of control points for the registration of optical images with Light Detection And Ranging (LiDAR) data is proposed. It is based on transformation-invariant detection of salient image disks (SIDs), which determine the location of control points as the centers of the corresponding image fragments. The SID is described by a feature vector, which, in addition to the coordinates and diameter, includes intensity descriptors and region shape characteristics of the image fragment. SIDs are effectively extracted using multiscale isotropic matched filtering—a visual attention operator that indicates image locations with high-intensity contrast, homogeneity, and local shape saliency. This paper discusses the extraction of control points from both natural landscapes and structured scenes with man-made objects. Registration experiments conducted on QuickBird imagery with corresponding LiDAR data validated the proposed approach.

机译：提出了一种新的自动提取控制点的方法，以利用光探测与测距（LiDAR）数据配准光学图像。它基于显着映像磁盘（SID）的变换不变检测，该映像磁盘将控制点的位置确定为相应映像片段的中心。 SID由特征向量描述，特征向量除了坐标和直径外，还包括图像片段的强度描述符和区域形状特征。使用多尺度各向同性匹配滤波可以有效地提取SID，这是一种视觉注意算子，它可以以高强度对比度，同质性和局部形状显着性指示图像位置。本文讨论了从自然景观和带有人造物体的结构化场景中提取控制点的方法。在QuickBird影像上进行的配准实验以及相应的LiDAR数据验证了该方法的有效性。

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《Geoscience and Remote Sensing, IEEE Transactions on》 |2010年第7期|p.2864-2879|共16页
作者
Palenichka R. M.; Zaremba M. B.;
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正文语种 eng
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关键词
Control points; Light Detection And Ranging (LiDAR); feature extraction; image registration; remote sensing; satellite imagery; spatial filtering;

机译：控制点;光探测与测距（LiDAR）;特征提取;图像配准;遥感;卫星图像;空间滤波;

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1. Automatic Co-Registration of Optical Satellite Images and Airborne Lidar Data Using Relative and Absolute Orientations [J] . Teo T.-A., Huang S.-H. Selected Topics in Applied Earth Observations and Remote Sensing, IEEE Journal of . 2013,第5期

机译：使用相对和绝对方向自动共同注册光学卫星图像和机载激光雷达数据
2. Band-to-band registration model for near-equatorial Earth observation satellite images with the use of automatic control point extraction [J] . Dibs Hayder, Mansor Shattri, Ahmad Noordin, International journal of remote sensing . 2015,第7a8期

机译：利用自动控制点提取进行近赤道地球观测卫星图像的带对带配准模型
3. An automatic method for precise 3D registration of high resolution satellite images and Airborne LiDAR Data [J] . International journal of remote sensing . 2019,第23a24期

机译：高分辨率卫星图像和机载LiDAR数据精确3D配准的自动方法
4. An Automatic Registration Method for SAR and Optical Images Based on Line Extraction and Control Points Selection [C] . Ziqiang Meng, Xiaodong Han, Xiaoming Li International Applied Computational Electromagnetics Society Symposium in China . 2017

机译：基于线路提取和控制点选择的SAR和光学图像的自动注册方法
5. Map-image registration using automatic extraction of features from high resolution satellite images. [D] . Vohra, Vijay Kumar. 1999

机译：使用自动从高分辨率卫星图像中提取特征的地图图像配准。
6. Automatic Registration of Optical Images with Airborne LiDAR Point Cloud in Urban Scenes Based on Line-Point Similarity Invariant and Extended Collinearity Equations [O] . Shubiao Peng, Hongchao Ma, Liang Zhang 2019

机译：基于线点相似不变性和扩展共线性方程的城市场景中机载LiDAR点云光学图像自动配准
7. Map-image registration using automatic extraction of features from high resolution satellite images [O] . Vohra V.K. 1999

机译：使用自动从高分辨率卫星图像中提取特征的地图图像配准

Automatic Extraction of Control Points for the Registration of Optical Satellite and LiDAR Images

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