Remote sensing provides valuable information about objects and areas from a distance in either active (e.g., radar and lidar) or passive (e.g., multispectral and hyperspectral) modes. The quality of data acquired by remotely sensed imaging sensors (active and passive) is often degraded by a variety of noise types and artifacts. Image restoration, which is a vibrant field of research in the remote sensing community, is the task of recovering a true unknown image from a degraded observed one. Each imaging sensor induces unique noise types and artifacts into the observed image. This fact has led to the expansion of restoration techniques along different paths according to sensor type.

中文翻译：

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遥感图像恢复：概述和工具箱

遥感以主动（例如，雷达和激光雷达）或被动（例如，多光谱和高光谱）模式从远处提供有关物体和区域的有价值信息。由遥感成像传感器（有源和无源）获取的数据质量通常会因各种噪声类型和伪影而降低。图像恢复是遥感界一个充满活力的研究领域，其任务是从退化的观测图像中恢复出真正的未知图像。每个成像传感器都会在观察到的图像中引入独特的噪声类型和伪影。这一事实导致根据传感器类型沿不同路径扩展恢复技术。