Dissertation > Excellent graduate degree dissertation topics show

The Ship Detection Based on Complex Background Optical Remote-sensing Images

Author: JinWenChao
Tutor: ZhaoChunZuo
School: Harbin Engineering University
Course: Communication and Information System
Keywords: Ship Detection Optical Remote-Sensing Image Interpretation Visual Attention Top-Hat Operator Gabor Filters
CLC: TP751
Type: Master's thesis
Year: 2013
Downloads: 64
Quote: 0
Read: Download Dissertation

Abstract


With the development of satellite remote sensing technology, large amount ofhigh-resolution remote sensing images can be acquired. Using them, automatic, dynamic andfast ship detection in a wide range of remote sensing images has a great application space inboth the military and civilian fields. The major research of this thesis is based on opticalremote sensing images under the complex background automatically ship detection.Considering the practical application and complex background conditions, in order to improvethe adaptability and practicability of the system, two key technologies are systematicallystudied including candidate region detection and candidate region discrimination, alsointroducing visual attention mechanism used in ship detection algorithm.This paper first introduces the application background, purpose and significance ofoptical remote sensing images ship detection technology, and then summarizes the currentresearch status both at home and abroad, and then designs the overall ship detection algorithmframework. In ship candidate region detection stage, to the optical remote sensing imagespreprocessing, by using median filter for image denoising and OTSU algorithm forsegmenting land and sea. Drawing on classical CFAR algorithm, introduced the doubleparameter CFAR algorithm to extract the target candidate region. Reference to thecharacteristics of the human eye visual attention mechanism, introduced saliency map fastgeneration method based on adaptive morphology. In combination with clutter rate coefficientfrom adaptive control structure element size of Top-Hat operator, and then through a set ofgabor filters simulation human visual perception characteristics, achieve ship detection whileeffectively inhibit complex background. In ship candidate region discrimination stage,summarizes the existing discrimination techniques, using a decision templates basedensemble technology for candidate region discrimination.With the support of a large number of optical remote sensing images data, through thesimulation experiments of ship detection, adjust algorithm combined with the actual to ensurethe effectiveness and adaptability.

Related Dissertations

  1. Study of Target Simulation and Signal Processing Algorithm for Skywave Over-The-Horizon Radar,TN958.93
  2. Research on Method of Ship Target Detection Under Complex Harbor Background,TP391.41
  3. Research of Visual Attention Model for Complex Object,TP391.41
  4. Research and Application of Visual Attention Model,TP391.41
  5. Research and Application of Compute Model on Visual Attention Mechanism,TP391.41
  6. Low-quality document image binarization research,TP391.41
  7. Research on Salient Region Detection Algorithms Based on Visual Attention,TP391.41
  8. Low Bit-rate and High-fidelity Compression Method for Remote Sensing Image,TP751
  9. Research of Line Characteristic Extraction Based on Beamlet,TP391.41
  10. Preceding Vehicle Detection in Bus Lane Based on Bus-video,TP391.41
  11. Research on Motion-based Visual Attention Computational Model,TP391.41
  12. Research on Optical Flow Methods Based on Texture Features,TP391.41
  13. The study of visual attention,TP391.41
  14. The Study of Detection Arithmetic for Pulmonary Opacity Based on CT Image,TP391.41
  15. Research on Digital Watermarking Technology Based on Visual Attention Mechanism,TP309.7
  16. Research on Fingerprint Image Compression System,TP391.41
  17. Study on Visual Attention Model and Its Application in Target Detection,TP391.41
  18. Study on Recognition and Tracking Algorithm Based on Fast Object,TP391.41
  19. AAM Modeling Based on Gabor-textures,TP391.41
  20. Video and Image Quality Assessment Based on Human Visual Perception,TP391.41
  21. Galvanized sheet surface defect segmentation algorithm,TP391.41

CLC: > Industrial Technology > Automation technology,computer technology > Remote sensing technology > Interpretation, identification and processing of remote sensing images > Image processing methods
© 2012 www.DissertationTopic.Net  Mobile