论文标题
太空传播多光谱图像的在线多分辨率融合
Online multi-resolution fusion of space-borne multispectral images
论文作者
论文摘要
卫星成像在监测，检测和估计关键自然现象的强度方面具有核心作用。卫星图像的一个重要特征是空间/光谱分辨率与重新访问时间之间的权衡，这是卫星轨道在其他技术限制中施加的设计和物理约束的结果。在本文中，我们专注于融合多个颞上的多光谱图像，其中使用具有不同空间分辨率的不同仪器获取的数据。我们利用多种模式的图像之间的空间关系来以更高的重新审视速率生成高分辨率的图像序列。为了实现这一目标，我们将融合方法作为递归状态估计问题，并在过滤和平滑环境中研究其性能。拟议的策略显然优于竞争方法，这在论文中显示了Landsat和Modis工具获得的真实数据。
Satellite imaging has a central role in monitoring, detecting and estimating the intensity of key natural phenomena. One important feature of satellite images is the trade-off between spatial/spectral resolution and their revisiting time, a consequence of design and physical constraints imposed by satellite orbit among other technical limitations. In this paper, we focus on fusing multi-temporal, multi-spectral images where data acquired from different instruments with different spatial resolutions is used. We leverage the spatial relationship between images at multiple modalities to generate high-resolution image sequences at higher revisiting rates. To achieve this goal, we formulate the fusion method as a recursive state estimation problem and study its performance in filtering and smoothing contexts. The proposed strategy clearly outperforms competing methodologies, which is shown in the paper for real data acquired by the Landsat and MODIS instruments.
