高光谱成像
计算机科学
人工智能
集合(抽象数据类型)
任务(项目管理)
遥感
数据集
光谱特征
维数之咒
计算机视觉
模式识别(心理学)
地理
工程类
程序设计语言
系统工程
摘要
Aerial target detection is often used to search for relatively small things over large areas of land. Depending on the size and signature of the target, detection can be a very easy or very difficult task. By capturing images with several hundred color channels, hyperspectral sensors provide a new way of looking at this task, both literally and figuratively. Hyperspectral sensors can be used in many aerial target detection tasks such as identifying unhealthy trees in a forest, searching for minerals at a mining site, or finding the sources of chemical leaks at a factory. The high spectral resolution of hyperspectral imagery makes it well suited for these tasks, but the inherent high dimensionality of these images poses a unique set of challenges.
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