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Detection of Ship in SAR Image

Author: ZhangLiang
Tutor: SuYi
School: National University of Defense Science and Technology
Course: Information and Communication Engineering
Keywords: SAR image Coastline detection Ship Target CFAR Statistical model Target detection
CLC: TN957.52
Type: Master's thesis
Year: 2007
Downloads: 209
Quote: 4
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Abstract


Ship Detection is on the coast of the world with the traditional tasks of the state , have a wide range of applications in the military and civilian sectors . China 's vast territorial waters , abundant marine resources , to conduct SAR image ship detection study has important implications . This paper mainly focus on the SAR image ship detection conducting research . SAR images of ship detection prerequisite land isolated The paper studies coastline detection to determine the marine area . First summarize the existing the six kinds coastline detection algorithm , and compare the pros and cons of the different algorithms , the final level set algorithm and the Mumford -Shah function method divided the land and sea , and the test results . SAR image target detection problem is detected from environmental clutter target echo , so the study target detection target itself and its existing environment , including research , this study of sea clutter and ship targets to the scattering properties . mold, summarizes the existing SAR image clutter statistical model , described in detail the derivation and parameter estimation of K distribution , given K distributed clutter simulation method , the description ship target backscatter characteristics kinds of models . On the basis of previous work , then the core issues of the research ship target detection , first analyzed the factors affecting the Ship Target Detection , and then summing up the existing ship target detection technology based on locally adaptive ACCA- CFAR (Automatic Censored Cell Averaging-CFAR) algorithm, and the experimental results are given . Finally, a summary of the full text , and ship detection research further outlook .

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CLC: > Industrial Technology > Radio electronics, telecommunications technology > Radar > Radar equipment,radar > Radar receiving equipment > Data,image processing and admission
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