CAJ | 학술논문

该文研究了一种基于压缩多信号分类算法的森林区域极化SAR层析成像方法。其具体步骤包括：全极化的SAR接收成像区域的反射回波，利用各极化通道的信号建立多观测向量模型；应用小波基对高程向结构进行稀疏表示，采用压缩多信号分类算法对观测区域的高程向后向散射系数进行重建，实现对森林区域层析成像。最后，通过仿真实验、PolSARpro仿真数据和德宇航E-SAR的P-波段数据验证了该方法在同等测量精度的要求下可以有效减少SAR层析成像所需的航过数，同时降低了虚假目标的出现概率。
해문연구료일충기우압축다신호분류산법적삼림구역겁화SAR층석성상방법。기구체보취포괄：전겁화적SAR접수성상구역적반사회파，이용각겁화통도적신호건립다관측향량모형；응용소파기대고정향결구진행희소표시，채용압축다신호분류산법대관측구역적고정향후향산사계수진행중건，실현대삼림구역층석성상。최후，통과방진실험、PolSARpro방진수거화덕우항E-SAR적P-파단수거험증료해방법재동등측량정도적요구하가이유효감소SAR층석성상소수적항과수，동시강저료허가목표적출현개솔。
This paper focuses on the polarimetric SAR tomography for forested areas based on compressive MultipleSignal Classification (MSC). First, full polarimetric SAR receives the reflected echo of the imaging area. Then, the signals from polarimetric channels are used to build multiple measurement vector model, and a wavelet basis is used in order to sparsely represent vertical structure. For achieving the measurement of forested area, the backscattering coefficients are reconstructed by Compressive Multiple Signal Classification (CMSC) algorithm. Simulated data from PolSARpro software and P-band data acquired by the E-SAR sensor of the German Aerospace Center validate that the method can effectively reduce the passes for SAR tomography and the probability of occurrence of spurious spikes under the same measurement accuracy.