Dissertation > Industrial Technology > Automation technology,computer technology > Remote sensing technology > Interpretation, identification and processing of remote sensing images > Image processing methods

Study on Registration Technologies of Different Species Remote Sensing Images

Author WangHanYun
Tutor WangCheng
School National University of Defense Science and Technology
Course Information and Communication Engineering
Keywords Heterogeneous remote sensing image Imaging Characteristics Image registration Roof Extraction FAST LSR Lidar ISEF
Type Master's thesis
Year 2010
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Image matching is an important prerequisite for remote sensing image information fusion . With the development of remote sensing technology , the amount of remote sensing data and remote sensing sensor resolution has been greatly improved , more and more types of remote sensing imaging sensors . Comprehensive utilization of a target different bands of the electromagnetic wave radiation characteristics and a variety of sensor information to achieve a comprehensive understanding of the target characteristics , the need to ensure that the remote sensing image geometric registration . This paper first introduces the concept of image registration principle , the general classification of the image registration techniques and geometric transformation model , and then summarize the imaging characteristics of the heterogeneous remote sensing image registration techniques and a variety of sensors . This article describes the basic principles and common image pre-processing of remote sensing image imaging technology , a heterogeneous remote sensing image registration algorithm based on structural characteristics . Structural features mainly refers to the characteristics of the corner feature extraction using FAST algorithm as well as a straight-line support area (LSR) . For complex imaging of remote sensing images , the radiation characteristics and geometric characteristics change sensor types , the registration algorithm versatility , two registration programs are given according to the different properties of the image and the registration requirements of this article . The experiments show that the given algorithm has better registration effect . Lidar data with traditional remote sensing image registration problem , based the specific feature oriented Lidar heterogeneous image registration algorithm framework , and a Lidar depth image based on the infinite symmetric exponential filter (ISEF) roof extraction algorithm, and having a high positioning accuracy of the extracted algorithm proved by experiments . On the basis of the above algorithm , a heterogeneous remote sensing image barebones . Last reviewed the work done on this article and research , and the direction of future work prospects .

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