Simulation of Rosette Scanning Infrared Seeker and Counter-Countermeasure Using K-Means Algorithm (Special Section of Papers Selected from ITC-CSCC '98)

スポンサーリンク

概要

• 論文の詳細を見る

• The rosette-scanning infrared seeker (RSIS) isa tracker that a single infrared detector scans the total field ofview (TFOV) in a rosette pattern, and then produces 2D imageabout a target. Since the detected image has various shapes inaccordance with the target position in the TFOV, it is difficultto determine a precise target position from the obtained image.In order to track this type of target, therefore, we propose anefficient tracking method using the K-means algorithm (KMA).The KMA, which classifies image clusters and calculates theircenters, is used to cope with an countermeasure (CM) juch as anIR flare. To evaluate the performance of the RSIS using the KMAdynamically, we simulate the RSIS in the various conditions, anddiscuss the tracking results.

• 社団法人電子情報通信学会の論文
• 1999-06-25

著者

• Choi Jong-soo

  Department Of Image Eng. Graduate School Of Aim Chung-ang Univ.

• Choi J‐s

  Department Of Image Eng. Graduate School Of Aim Chung-ang Univ.

• Hong Hyun-ki

  Department Of Electronic Engineering At Chung-ang University

• JAHNG Surng-Gabb

  Department of Electronic Engineering at Chung-Ang University

関連論文

• A Study on Real-Time Implementation of the View Interpolation System(Special Section on Papers Selected from ITC-CSCC 2002)
• A Quasi-feature based Image Mosaic Algorithm Using Modified Block Matching Criteria (特集:変貌するマシンビジョン活用技術)
• Simulation of Rosette Scanning Infrared Seeker and Counter-Countermeasure Using K-Means Algorithm (Special Section of Papers Selected from ITC-CSCC '98)
• Image Retrieval Using Color and Space-Distributed Average Coordinates

スポンサーリンク