基于背景景观特性分析的植被伪装效果评价方法  

Vegetation camouflage assessment based on analysis of characteristics of vegetative landscape

作　　者：韦灼彬[1] 黄静[1] 方奇[1] 

机构地区：[1]海军工程大学勤务学院,天津300450

出　　处：《解放军理工大学学报（自然科学版）》2014年第1期51-55,共5页Journal of PLA University of Science and Technology(Natural Science Edition)

基　　金：国家部委基金资助项目(BY209J301)

摘　　要：用基于孔隙度指数法的景观异质性分析及基于统计性分形的景观特性分析2种方法对植被复绿工程伪装效果进行评价。构建相关的分析模型,并以MATLAB为平台,设计相关程序,应用评价模型,对某植被伪装工程的伪装效果进行了评价。结果表明,伪装目标与周围背景的自相似性与孔隙度指数变化趋势有关,随着空间尺度增大,孔隙度指数变化平缓,景观具有较强的自相似性,反之,自相似性较弱;同样地,景观组分的分形维数反映了景观的空间格局特征,不同尺度下分形维数拟合曲线呈现线性分布,说明景观组分在空间结构上具有自相似性。By adopting the analyses of heterogeneousness of landscape with the porosity method and the characteris-tics of landscape with the statistical fractal method, the assessment of the revegetation-based camouflage engineering was carried out,the analysis model built, and the concerned program designed with MATLAB. This model is used to assess some revegetation camouflage engineering. The results indicate that the self-similarity between camouflage scene and vegetative landscape relates to the trend in changing of porosity. There is gradual change in the porosity curve with the increscent of the box length, and the self-similarity is strong. Conversely, the self-similarity is fee-ble. The fractal dimension of landscape component reflects the space characteristics of landscape. The fitting curve of the fractal dimension under different scales accords with the linear equation, which shows that landscape compo-nent has the self-similarity in space.

关 键 词：伪装 效果评价 孔隙度 分形维数 自相似 

分 类 号：E951.4[军事—军事工程]