Dissertation > Excellent graduate degree dissertation topics show

Hybrid Image Registration Based Building Recognition in Aerial Images

Author: HuangXuanDa
Tutor: LiCuiHua
School: Xiamen University
Course: Applied Computer Technology
Keywords: Hybrid Image Registration Building Recognition Aerial Image
CLC: TP391.3
Type: Master's thesis
Year: 2008
Downloads: 114
Quote: 3
Read: Download Dissertation

Abstract


Building detection and recognition is a great part of ATR, and has not been well solved till now. This paper focuses on building searching, matching and recognition with distinct building target at a distance of one kilometer in aerial imges, as well as designing a building recognition software.After substantial observation and analysis, we propose a practical approach that based on gray information in the building nearby region and the orientation information in this region to locate the target building, no need for image segmentation. The experiments have been conducted under various conditions such as distortion, noise pollution and nature disturbance. The results indicate that the method has high precision and satisfies the real time requirement. It is useful in practical application.Main jobs in this paper: Image registration based on gray information in the building nearby region, here the gray information in the building nearby region is not simply about intensity correlation but more than that, contains DOG character detection, SIFT character description, K-D tree based matching algorithm, miss-matching eliminating algorithm, fast fundamental matrix resolution. And we promote the orientation information in the building nearby region to locate the target building in aerial images.Innovation in this paper: Use hybrid image registration strategy that organic combine research productions in image matching fields of recent years, adopt improved rapid KD tree based point matching algorithms and promote the orientation information, then successfully locate the target building. The system can not only locate the airdrome, road and bridge, but also ordinary civil buildings.

Related Dissertations

  1. Man-made Objects and Natural Scenes Classification by Partial Differential Equation,TP751
  2. The Research of Urban 3·Dimensional Visualization GIS,P208
  3. Research on Feature-based Automated Registration Method for Aerial Image Sequence Stitching,TP391.41
  4. Feature Extraction Based on Graph Embedding and Visual Attention,TP391.41
  5. Study on Aerial Image Registration,TP751
  6. Automatic Road Network Extraction Based on Color and Texture,TP391.41
  7. Building Extraction and analysis of remote sensing images,TP751
  8. GIS、Image & 3D Integrative System,P208
  9. Research on Basic Algorithms of Digital Image Processing and Implementation with FPGA,TP391.41
  10. Research on Facial Feature Extraction and Matching Algorithms for Image Retrieval,TP391.41
  11. Research of High Speed Image Pre-processing System Based on FPGA,TP391.41
  12. Research on Algorithms of 2D Face Template Protection,TP391.41
  13. Research of Visualization Technology in the Virtual Test of Missile,TP391.9
  14. The Research and Implemention of Image Retrieval Based on User Interested Feature,TP391.41
  15. Research of Image Mosaic Technology,TP391.41
  16. Research and Implementation of Exact String Matchiing Algorithms,TP391.41
  17. Research of Question Answering System Based on the Analysis of Lexical and Semantic Meanings,TP391.1
  18. Research on the Classification Based on the Reconstruction of Solder Joint,TP391.41
  19. Tongue Feature Extraction and Research of Fusion Classification,TP391.41
  20. Research on Structure Transition Technology for SMT,TP391.2
  21. The Fatigue State Recognition of the Driver Based on Eye Detection,TP391.41

CLC: > Industrial Technology > Automation technology,computer technology > Computing technology,computer technology > Computer applications > Information processing (information processing) > Retrieval machine
© 2012 www.DissertationTopic.Net  Mobile