A Method for Assessing Spectral Image Utility
A Method for Assessing Spectral Image Utility
复制标题
DOI：
10.1109/tgrs.2008.2006364
复制
发表时间：
2009-06-01
影响因子：
8.2
通讯作者：
Kerekes, John P.
中科院分区：
文献类型：
--
作者：
Stefanou, Marcus S.;Kerekes, John P.
映像的效用是描述该映像满足特定应用程序性能要求的能力的属性。本文首先回顾了评估全色图像效用的传统方法，然后讨论了光谱图像的差异，从而建立了光谱图像效用的背景。我们将亚像素目标检测应用的光谱图像效用定义为在一系列目标检测场景参数中总结的接收器工作曲线下的面积。我们提出了一种新方法来评估任何光谱图像对于任何目标类型和大小以及检测算法的效用。使用六张机载高光谱图像，我们展示了评估的图像实用程序对各种目标检测场景参数的敏感性，并展示了这种方法作为满足特定用户信息需求的工具的灵活性。这项研究的结果有助于更好地理解光谱图像信息与目标检测性能的关系，并为量化光谱图像满足信息开发要求的能力迈出了一步。
The utility of an image is an attribute that describes the ability of that image to satisfy performance requirements for a particular application. This paper establishes the context for spectral image utility by first reviewing traditional approaches to assessing panchromatic image utility and then discussing differences for spectral imagery. We define spectral image utility for the subpixel target detection application as the area under the receiver operating curve summarized across a range of target detection scenario parameters. We propose a new approach to assessing the utility of any spectral image for any target type and size and detection algorithm. Using six airborne hyperspectral images, we demonstrate the sensitivity of the assessed image utility to various target detection scenario parameters and show the flexibility of this approach as a tool to answer specific user information requirements. The results of this investigation lead to a better understanding of spectral image information vis-A-vis target detection performance and provide a step toward quantifying the ability of a spectral image to satisfy information exploitation requirements.