Generic spectral library framework for urban land cover mapping with optical remote sensing imagery

IF 4.8 2区 环境科学与生态学 Q1 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS
Frederik Priem , Marianne Jilge , Uta Heiden , Ben Somers , Frank Canters
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引用次数: 0

Abstract

Spectral libraries link surface reflectance characteristics to thematic cover type interpretation. Despite their potential, spectral libraries are rarely used beyond their original application or analysis. In this paper we introduce the concept of a Generic Urban Spectral Library (GUSL). A GUSL is a thoroughly labelled collection of multi-site, -sensor and -temporal spectral libraries that supports urban mapping. The GUSL is envisioned as an open data source equipped with tools that facilitate deployment for different mapping purposes and image types. We introduce the GUSL concept, present a preliminary implementation containing eight spectral libraries and discuss two use case experiments performed with the spectral libraries and the GSL-tools currently included in the GUSL. The first use case focuses on GUSL expansion with image-derived spectral endmembers. From a 200 by 200-pixel hyperspectral urban image, we extract 229 endmember spectra. By comparing the extracted spectra to the spectra already included in the experimental GUSL, we demonstrate how the GUSL can reduce the burden of endmember labelling and identify spectra that are novel to the GUSL. In the second use case the experimental GUSL is used for mapping urban land cover from airborne hyperspectral data in two cities (Munich, Brussels) for which local spectra are included in the GUSL, and in a third city (Pavia) for which no local spectra are present in the library. Generalized material group and more detailed artificial material type mapping yield average user and producer accuracies ranging between 0.72 and 0.96. When mapping is performed on the Pavia image, the obtained material group accuracies remain reasonable, i.e., around 0.80. Our experimental results confirm the potential of the GUSL for urban library building and mapping. Future research avenues are proposed to move towards an operational GUSL.

Abstract Image

基于光学遥感影像的城市土地覆盖制图通用光谱库框架
光谱库将地表反射率特征与专题覆盖类型解释联系起来。尽管光谱库具有很大的潜力,但很少在其原始应用或分析之外使用。本文介绍了通用城市光谱库(GUSL)的概念。GUSL是支持城市制图的多站点、多传感器和多时间光谱库的完整标记集合。GUSL被设想为一个开放的数据源,它配备了一些工具,可以方便地为不同的映射目的和图像类型进行部署。我们介绍了GUSL的概念,提出了一个包含8个谱库的初步实现,并讨论了用谱库和GUSL中当前包含的gsl工具进行的两个用例实验。第一个用例侧重于使用图像派生的光谱端元进行GUSL扩展。从一张200 × 200像素的高光谱城市图像中,我们提取了229个端元光谱。通过将提取的光谱与实验GUSL中已经包含的光谱进行比较,我们证明了GUSL如何减轻端元标记的负担,并识别出GUSL中新的光谱。在第二个用例中,实验GUSL用于从两个城市(慕尼黑、布鲁塞尔)的机载高光谱数据绘制城市土地覆盖图,其中本地光谱包含在GUSL中,而第三个城市(帕维亚)的数据库中没有本地光谱。广义材料组和更详细的人工材料类型映射的平均用户和生产者精度在0.72和0.96之间。在Pavia图像上进行映射时,得到的材质组精度仍然合理,在0.80左右。我们的实验结果证实了GUSL在城市图书馆建设和制图方面的潜力。提出了未来的研究途径,以实现可操作的GUSL。
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来源期刊
Environmental Modelling & Software
Environmental Modelling & Software 工程技术-工程:环境
CiteScore
9.30
自引率
8.20%
发文量
241
审稿时长
60 days
期刊介绍: Environmental Modelling & Software publishes contributions, in the form of research articles, reviews and short communications, on recent advances in environmental modelling and/or software. The aim is to improve our capacity to represent, understand, predict or manage the behaviour of environmental systems at all practical scales, and to communicate those improvements to a wide scientific and professional audience.
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