CAJ | 학술논문

提出基于差异分簇下随机数据模拟技术，并应用到病虫害虚拟展示中，根据边沿像素不同，采用动态分区DGT分簇方法对总体林业区域进行差异化分区，将区域内的差异化像素通过随机系数logit模型对其进行随机编码，利用logit模型对差异数据的高度灵活性，将差异化像素密度信息转换成随机系数logit模型的变量系数分布，利用分布系数完成虚拟仿真。实验结果说明，该方法能够清晰地展示差异较大的情况下，不同分区林业病虫害虚拟图像，具有较高的虚拟展示效率和准确度。
제출기우차이분족하수궤수거모의기술，병응용도병충해허의전시중，근거변연상소불동，채용동태분구DGT분족방법대총체임업구역진행차이화분구，장구역내적차이화상소통과수궤계수logit모형대기진행수궤편마，이용logit모형대차이수거적고도령활성，장차이화상소밀도신식전환성수궤계수logit모형적변량계수분포，이용분포계수완성허의방진。실험결과설명，해방법능구청석지전시차이교대적정황하，불동분구임업병충해허의도상，구유교고적허의전시효솔화준학도。
Based on differences in clustering under random data simulation technology, and applied to plant diseases and insect pests in virtual display, depending on the edge pixels, using dynamic partitioning clustering method of DGT parti-tion of total forest area differentiation, the differentiation of pixels within the region through random coefficient logit mod-el for random code, using logit model to the height of the differences between data flexibility, converting differential pixel density information into logit model of variable coefficient distribution random coefficient, complete virtual simulation us-ing the distribution coefficient. Experimental results show that this method can clearly show diverse circumstances, dif-ferent partitions forestry virtual images, has higher efficiency and accuracy of the virtual display.