A new automatic matching method of SAR data for DEM extraction

2009 ◽  
Author(s):  
Xu Xing Ou ◽  
Shu Ning
Keyword(s):  
Matching Method ◽  
Sar Data ◽  
Automatic Matching

Automatic Matching Method of Control Points for AVHRR Remote Sensing Image

2014 ◽  
Author(s):  
Ying Xia ◽  
◽  
Linjun Zhu ◽  
Xiaobo Luo ◽  
Hae Young Bae ◽  
...  
Keyword(s):  
Remote Sensing ◽  
Remote Sensing Image ◽  
Control Points ◽  
Matching Method ◽  
Automatic Matching

scholarly journals Comparison of Image Matching Method for Automatic Matching of High Resolution SAR Imagery

2014 ◽  
Vol 34 (5) ◽  
pp. 1639-1644
Author(s):  
Sang Ho Baek ◽  
Seung Hwan Hong ◽  
Su Hong Yoo ◽  
Hong Gyoo Sohn
Keyword(s):  
High Resolution ◽  
Image Matching ◽  
Matching Method ◽  
Sar Imagery ◽  
Automatic Matching

scholarly journals Exploiting High Geopositioning Accuracy of SAR Data to Obtain Accurate Geometric Orientation of Optical Satellite Images

2021 ◽  
Vol 13 (17) ◽  
pp. 3535
Author(s):  
Zhongli Fan ◽  
Li Zhang ◽  
Yuxuan Liu ◽  
Qingdong Wang ◽  
Sisi Zlatanova
Keyword(s):  
Satellite Imagery ◽  
Image Matching ◽  
Satellite Images ◽  
Three Dimensional ◽  
Phase Correlation ◽  
Feature Descriptor ◽  
Matching Method ◽  
Reference Images ◽  
Sar Data ◽  
Optical Satellite Images

Accurate geopositioning of optical satellite imagery is a fundamental step for many photogrammetric applications. Considering the imaging principle and data processing manner, SAR satellites can achieve high geopositioning accuracy. Therefore, SAR data can be a reliable source for providing control information in the orientation of optical satellite images. This paper proposes a practical solution for an accurate orientation of optical satellite images using SAR reference images to take advantage of the merits of SAR data. Firstly, we propose an accurate and robust multimodal image matching method to match the SAR and optical satellite images. This approach includes the development of a new structural-based multimodal applicable feature descriptor that employs angle-weighted oriented gradients (AWOGs) and the utilization of a three-dimensional phase correlation similarity measure. Secondly, we put forward a general optical satellite imagery orientation framework based on multiple SAR reference images, which uses the matches of the SAR and optical satellite images as virtual control points. A large number of experiments not only demonstrate the superiority of the proposed matching method compared to the state-of-the-art methods but also prove the effectiveness of the proposed orientation framework. In particular, the matching performance is improved by about 17% compared with the latest multimodal image matching method, namely, CFOG, and the geopositioning accuracy of optical satellite images is improved, from more than 200 to around 8 m.

Study of Automatic Matching Method about Bullet Head Traces Based on Similarity

2013 ◽  
Vol 12 (16) ◽  
pp. 3810-3814
Author(s):  
Zhou Lihui ◽  
Wang Lu ◽  
Lu Fangling ◽  
Cong Weijian
Keyword(s):  
Matching Method ◽  
Automatic Matching

Fast Automatic Matching Method on Multi-View Point Clouds for Rail Tanker

2011 ◽  
Vol 346 ◽  
pp. 287-293
Author(s):  
Tao Fu ◽  
Wei Jun Liu ◽  
Ji Bin Zhao
Keyword(s):  
Point Cloud ◽  
Point Clouds ◽  
Point Of View ◽  
Spindle Orientation ◽  
Work Piece ◽  
View Point ◽  
Matching Method ◽  
Point Pair ◽  
Novel Method ◽  
Automatic Matching

In this paper, a novel method is proposed for automatically matching the measured data of a rail tanker. The spindle orientation of point cloud is determined by PCA, and then any relative point pair is well matched according to the spatial topology relations as the complexity reduction point of view, finally the data is mapped to a uniform coordinate system with the Quaternion method. The experimental results demonstrated that the proposed method achieves simplicity of implementation with robustness, and especially suitable for positioning the work piece of the rail tanker and the multi-view data fusion.

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