基于多季节多光谱测量综合分析的人类改造自然环境区域探测

IF 0.5 Q4 PHYSICS, MULTIDISCIPLINARY
I. V. Zhurbin, A. S. Shaura, A. G. Zlobina, A. I. Bazhenova
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引用次数: 0

摘要

摘要 对不同生长期获得的多光谱数据进行综合分析,可以重建人类改造自然环境的现状,并确定历史上自然管理的区域。森林次生演替的模糊显示需要比较植被光谱特征的变化和多季节图像上景观物体纹理的特征。此类研究的方法论基础是在特征提取阶段应用哈拉利克纹理特征的多光谱数据处理算法。对多季节多光谱图像进行联合分割可以平滑景观物体纹理的局部和不太明显的变化,从而更清晰地展示植被分布的总体趋势。调查区域包括普德姆斯基炼铁厂区的一个片段,19 世纪上半叶,这里的木材和木柴因生产需要而被砍伐。分段图像显示了调查区西部和东部(历史上的砍伐区所在地和未受强烈人为影响的炼铁厂区部分)植被覆盖之间的根本差异。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Detection of Areas of the Anthropogenically Transformed Natural Environment Based on a Comprehensive Analysis of Multiseasonal Multispectral Survey

Detection of Areas of the Anthropogenically Transformed Natural Environment Based on a Comprehensive Analysis of Multiseasonal Multispectral Survey

Abstract

A comprehensive analysis of multispectral data obtained in different growing periods makes it possible to reconstruct the current state of the anthropogenically transformed natural environment and identify areas of historical nature management. Ambiguous displaying of secondary succession of forests requires comparison of changes in the spectral features of vegetation and features of the landscape objects texture on multiseason images. The methodological basis of such studies is an algorithm of multispectral data processing adapted to apply Haralick’s textural features at the feature extraction stage. Joint segmentation of multiseasonal multispectral images smooths out local and less significant changes in the texture of landscape objects, which makes it possible to more clearly demonstrate the general trends in the distribution of vegetation. The survey area included a fragment of the ironworks district of the Pudemsky ironworks, where timber and firewood were cut down for production needs in the first half of the 19th century. The segmented image demonstrates the fundamental differences between the vegetation cover of the western and eastern parts of the survey area (the site of historical cutting areas and the part of the ironworks district that was not subject to intense anthropogenic impact).

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来源期刊
CiteScore
1.00
自引率
50.00%
发文量
16
期刊介绍: The scope of Optoelectronics, Instrumentation and Data Processing encompasses, but is not restricted to, the following areas: analysis and synthesis of signals and images; artificial intelligence methods; automated measurement systems; physicotechnical foundations of micro- and optoelectronics; optical information technologies; systems and components; modelling in physicotechnical research; laser physics applications; computer networks and data transmission systems. The journal publishes original papers, reviews, and short communications in order to provide the widest possible coverage of latest research and development in its chosen field.
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