CAJ | 학술논문

传统的像素级变化检测对辐射校正及阈值选择要求较高，因而在实际应用中受到诸多限制。在分析多尺度分割的基础上，提出了一种目标级的变化检测方法。分别利用粗、细尺度对各时相遥感图像的融合图像进行面向对象分割，以获取不同尺寸的目标区域，构造目标的特征进行向量分析得到差异图，并定义变化信息的强度，再利用多值逻辑理论将粗、细尺度下的检测结果进行决策级融合。实验结果表明，与传统的像素级检测方法相比，该方法受辐射差异影响小，检测精度更高，且检测结果对变化强度的衡量准确，能对应于有一定物理意义的目标变化。
전통적상소급변화검측대복사교정급역치선택요구교고，인이재실제응용중수도제다한제。재분석다척도분할적기출상，제출료일충목표급적변화검측방법。분별이용조、세척도대각시상요감도상적융합도상진행면향대상분할，이획취불동척촌적목표구역，구조목표적특정진행향량분석득도차이도，병정의변화신식적강도，재이용다치라집이론장조、세척도하적검측결과진행결책급융합。실험결과표명，여전통적상소급검측방법상비，해방법수복사차이영향소，검측정도경고，차검측결과대변화강도적형량준학，능대응우유일정물리의의적목표변화。
The traditional pixel-level change detection algorithms have the disadvantage of high requirements for radiometric correction accuracy and threshold selection,which may limit their applications .An analysis was made to the multi-scale segmentation method,and an object-level algorithm was proposed based on it .The fused image of the remote sensing images at different time phases was segmented by using object-oriented method in coarse and fine scales respectively to capture object areas of different sizes .Discrepancy image was obtained after analyzing of characteristics vectors,and the intensity of the changed information was defined .Then,the decision-level fusion was implemented using the measurement results of the coarse and fine scales based on multi-valued logic theory .Experiments indicate that,compared with traditional pixel-level change detection algorithms,the algorithm is less influenced by radiometric discrepancy,has higher detection accuracy,and can evaluate the changed intensity accurately .