周读论文系列笔记(4)-reivew-Image registration methods: a survey

最新推荐文章于 2023-08-04 13:39:07 发布

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最新推荐文章于 2023-08-04 13:39:07 发布 · 1.2k 阅读

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图像配准是将同一场景的多张图片在几何上对齐的过程，应用于多源数据融合、变化检测等任务。它通常包括四个步骤：特征检测、特征匹配、变换模型估计和图像重采样及转换。此过程涉及区域方法、特征方法、相似性度量和映射函数参数估计。

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1. Introduction

Image registration is the process of overlaying two or more images of the same scene taken at different times, from different viewpoints, and/or by different sensors. It geometrically aligns two images—the reference and sensed images. The present differences between images are introduced due to different imaging conditions.

Image registration is a crucial step in all image analysis tasks in which the final information is gained from the combination of various data sources like in image fusion, change detection, and multichannel image restoration.

Typically, registration is required in remote sensing (multispectral classification, environmental monitoring, change detection, image mosaicing, weather forecasting, creating super-resolution images, integrating information into geographic information systems (GIS)), in medicine (combining computer tomography (CT) and NMR data to obtain more complete informat