CAJ | 학술논문

针对遥感图像处理中的目标检测问题，根据具体应用要求，采用改进的图像分割方法对地面机场中的某些大型飞机进行型号识别。分析感兴趣的飞机参数，并在先验信息的基础上确定感兴趣区域(ROI)，在待检区域和ROI匹配的基础上提取飞机目标，通过比较结构信息和不变矩信息实现地面飞机目标的检测与识别。实验结果表明，该方法的查全率为88.15%，查准率为80.67%，能达到预期目标。
침대요감도상처리중적목표검측문제，근거구체응용요구，채용개진적도상분할방법대지면궤장중적모사대형비궤진행형호식별。분석감흥취적비궤삼수，병재선험신식적기출상학정감흥취구역(ROI)，재대검구역화ROI필배적기출상제취비궤목표，통과비교결구신식화불변구신식실현지면비궤목표적검측여식별。실험결과표명，해방법적사전솔위88.15%，사준솔위80.67%，능체도예기목표。
Aiming at the object detection problems in remote sensing image processing, according to the specific application requirements, this paper uses the improved image segmentation method to identify the type of some large aircraft at the ground of airport. This paper analyzes the parameter of interest plane, determines the Region of Interest(ROI) on the basis of prior information, and gets the target plane on the basis of inspection area and ROI matching. It compares the structure information and invariant moment to make recognition on the ground plane target. Experimental results show that the recall rate of this method is 88.15%, the precision rate is 80.67%. It can reach the expected purpose.