CAJ | 학술논문

本文针对基于 Freeman 分解的建筑提取方法存在的问题，提出采用圆极化相关系数实现选择性去取向，同时引入广义体散射模型，构建了面向建筑提取的改进三分量分解模型，以准确分析地物的散射特性。在此基础上，发展了一种综合利用改进三分量分解与 Wishart 迭代分类算法的极化 SAR 图像建筑提取方法。使用 E‐SAR 全极化数据的试验结果表明，本文方法能够有效减少建筑与植被的误分，并提高建筑信息提取的准确性。
본문침대기우 Freeman 분해적건축제취방법존재적문제，제출채용원겁화상관계수실현선택성거취향，동시인입엄의체산사모형，구건료면향건축제취적개진삼분량분해모형，이준학분석지물적산사특성。재차기출상，발전료일충종합이용개진삼분량분해여 Wishart 질대분류산법적겁화 SAR 도상건축제취방법。사용 E‐SAR 전겁화수거적시험결과표명，본문방법능구유효감소건축여식피적오분，병제고건축신식제취적준학성。
To address the misclassification issue on buildings extraction based on Freeman decomposition method ,a novel improved three‐component decomposition model is proposed in this paper .By combining the selective de‐orientation derived from the circular polarization correlation coefficient method with the generalized volume scattering model , it can accurately characterize the scattering characteristics of surface features .On this basis ,the complex Wishart iterative classification is introduced to develop a new method of buildings extraction .An E‐SAR L band polarimetric SAR image was used to verify the effective‐ness of this modified algorithm .The experiment result shows it could perform better in distinguishing between oblique buildings and forest ,and consequently improve the accuracy of buildings extraction .