Improved land cover mapping using high resolution multiangle 8-band WorldView-2 satellite remote sensing data
Improved land cover mapping using high resolution multiangle 8-band WorldView-2 satellite remote sensing data
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DOI：
10.1117/1.jrs.7.073573
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发表时间：
2013-01
影响因子：
1.7
通讯作者：
S. Jawak;A. J. Luis
中科院分区：
文献类型：
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作者：
S. Jawak;A. J. Luis
摘要在这里，我们讨论了改进城市分类，使用的空间-光谱-角度信息从WorldView-2（WV-2）多角度图像序列。在这项研究中，我们评估使用多角度高分辨率WV-2全色（PAN）和多光谱图像（MSI）数据提取城市地理空间信息。目前的多角度WV-2数据被分类为易分类错误的表面，如植被，水体和人造功能，使用一组归一化的差异光谱指数比（SIR）。一种新的多重方法协议的目的是估计的后果multiangularity和密切PAN锐化算法的光谱特性（失真）的卫星数据和由此产生的土地利用/土地覆盖（LU/LC）映射使用一个阵列的SIR。八个现有的PAN锐化算法用于数据融合，然后估计多个SIR，以减轻光谱失真所产生的多角度的数据。这项研究强调了使用传统的PAN锐化技术与一套特定的SIR土地覆盖制图的基础上，五个可用的卫星数据瓦片的好处。该研究提供了一种克服大气触发的多角度采集光谱失真的方法，这将有助于更好地绘制和了解地球表面。
Abstract Here, we discuss the improvements in urban classification that were made using the spatial-spectral-angular information from a WorldView-2 (WV-2) multiangle image sequence. In this study, we evaluate the use of multiangle high resolution WV-2 panchromatic (PAN) and multispectral image (MSI) data for extracting urban geospatial information. Current multiangular WV-2 data were classified into misclassification-prone surfaces, such as vegetation, water bodies, and man-made features, using a cluster of normalized difference spectral index ratios (SIR). A novel multifold methodology protocol was designed to estimate the consequences of multiangularity and germane PAN-sharpening algorithms on the spectral characteristics (distortions) of satellite data and on the resulting land use/land cover (LU/LC) mapping using an array of SIRs. Eight existing PAN-sharpening algorithms were used for data fusion, followed by estimation of multiple SIRs to mitigate spectral distortions arising from the multiangularity of the data. This research highlights the benefits of using traditional PAN-sharpening techniques with a specific set of SIRs on land cover mapping based on five available tiles of satellite data. The research provides a method to overcome the atmospherically triggered spectral distortions of multiangular acquisitions, which will facilitate better mapping and understanding of the earth’s surface.