利用基于指数的建筑指数和LANDSAT OLI/TIRS影像对卫星影像进行处理,提取中高植被地形的城市格局

Ekta Baranwal, Shamshad Ahmad
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引用次数: 2

摘要

遥感是科学、艺术、社会科学和技术领域日益增长的分支,它将成为未来我们周围环境发展的基础。最复杂和最具挑战性的遥感应用之一是识别、监测、提取和绘制城市格局和形态。但是有几种方法和技巧可以做到这一点。本文讨论了一种特征提取模型,用于评价印度两个不同地区的城市格局,这些地区的城市周围有不同的植被。两个研究区域都具有典型的宗教价值,但在地理和城市演变上有所不同。本文采用光谱指数或比值模型提取这两个区域的城市格局。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Urban pattern extraction within high and medium vegetated terrain through satellite image processing using the index-based built-up index and LANDSAT OLI/TIRS imageries
Remote Sensing is the growing division in science, art, social science, and technology that will be the base of every development in our surroundings in the coming days. One of the complex and most challenging remote sensing applications is identifying, monitoring, extracting, and mapping the urban pattern and morphology. But there are several methods and techniques to do so. In this research, one of the feature extraction models is discussed to evaluate the urban pattern of two distinct Indian districts having different vegetation surrounding the urban. Both the study areas have a typical religious value but differ in geography and urban evolution. Spectral index or ratio is the model taken here to extract the urban pattern of these two areas.
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