Abstract

Regular monitoring and precise mapping of urban environment is required by various applications. In this paper, a new method is proposed, in which different combinations of feature bands have been utilized for extraction of built-up surfaces, sub-surfaces and materials in different levels (Level-1, 2 and 3) using AVIRIS-NG hyperspectral imagery of Jodhpur, Rajasthan region of India. Features identified in this study are based on spectral indices, major principal components and fractional abundances, in which first combination is developed using spectral indices and fractional abundances while second is made using spectral indices and major principal components and finally third using combination of all the aforesaid features. It is observed that the combined form of all the aforementioned features produces better extraction results than the other two while combination of spectral indices and fractional abundances may be more useful than the combined form of spectral indices and major principal components.

摘要

各种应用都需要对城市环境进行定期监测和精确测绘。在本文中，提出了一种新方法，该方法利用 AVIRIS-NG 高光谱技术，利用特征波段的不同组合，提取不同层次（Level-1、2 和 3）的组合表面、子表面和材料。印度拉贾斯坦邦焦特布尔的图像。本研究确定的特征是基于光谱指数、主要主成分和分数丰度，其中第一种组合是使用光谱指数和分数丰度开发的，第二种是使用光谱指数和主要主成分形成的，最后是第三种使用上述所有组合的特征。