Abstract

An original local-potential morphometric algorithm for information-entropy estimation of the impact of technogenic chemical pollution on forests was proposed. This algorithm is distinguished by a procedure of separation of binary objects—pixel clusters (simply connected, tightly packed sets of white and black pixels)—in satellite photographs by a potential transformation and a procedure of estimation of the changes in the local configuration of pixel clusters by calculating the information entropy for the virtual potential of models of the interaction of pseudoparticles (white and black pixels) of the binary image. This enables one to practically estimate the spatial disturbances in forests by the impact of technogenic chemical pollution using point statistical estimates of the geometric indices of clusters. The proposed algorithm differs from conventional ones that determine the boundaries of binary objects by statistical analysis using co-occurrence matrices or point statistical estimates of the configuration of pixels.

中文翻译：

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技术化学污染对森林影响的信息熵估计的局部势形态计量算法

摘要

提出了一种原始的局部势态形态计量学算法，用于信息熵估计技术性化学污染对森林的影响。该算法的特征在于通过电位变换分离卫星照片中的二进制对象（像素簇（紧密连接的白色和黑色像素的紧密集合）的二进制对象）的过程以及估算像素局部配置变化的过程通过计算二值图像伪粒子（白色和黑色像素）相互作用的模型的虚拟势的信息熵进行聚类。这使人们能够利用簇的几何指数的点统计估计值，通过技术化学污染的影响来实际估计森林中的空间干扰。