人类住区高光谱图像非线性混合效应研究

2015 Joint Urban Remote Sensing Event (JURSE) Pub Date : 2015-06-11 DOI:10.1109/JURSE.2015.7120484

A. Marinoni, P. Gamba

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引用次数: 5

摘要

本文研究了人类住区对高光谱图像混合的非线性贡献。具体而言，提出了一种利用基于多面体分解的多项式非线性解混结果高效评价和估计城市面积的方法。对真实图像的测试表明，所提出的方案实际上可以在几何复杂的情况下突出人类活动的程度。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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On the effect of nonlinear mixing in hyperspectral images of human settlements

In this paper, the nonlinear contribution of human settlements to mixture in hyperspectral images is investigated. Specifically, a method that aims to efficiently evaluate and estimate the extent of urban areas by taking advantage of the results provided by polynomial nonlinear unmixing based on polytope decomposition is proposed. Tests over real images shows how the proposed scheme can actually highlight anthropogenic extents over geometrically complex scenarios.

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2015 Joint Urban Remote Sensing Event (JURSE)

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