首页> 外文期刊>Geoscience and Remote Sensing, IEEE Transactions on >A Method to Better Account for Modulation Transfer Functions in ARSIS-Based Pansharpening Methods
【24h】

A Method to Better Account for Modulation Transfer Functions in ARSIS-Based Pansharpening Methods

机译:在基于ARSIS的Pansharpening方法中更好地说明调制传递函数的方法

获取原文
获取原文并翻译 | 示例

摘要

Multispectral (MS) images provided by Earth observation satellites have generally a poor spatial resolution while panchromatic images (PAN) exhibit a spatial resolution two or four times better. Data fusion is a means to synthesize MS images at higher spatial resolution than original by exploiting the high spatial resolution of the PAN. This process is often called pansharpening. The synthesis property states that the synthesized MS images should be as close as possible to those that would have been acquired by the corresponding sensors if they had this high resolution. The methods based on the concept Amélioration de la Résolution Spatiale par Injection de Structures (ARSIS) are able to deliver synthesized images with good spectral quality but whose geometrical quality can still be improved. We propose a more precise definition of the synthesis property in terms of geometry. Then, we present a method that takes explicitly into account the difference in modulation transfer function (MTF) between PAN and MS in the fusion process. This method is applied to an existing ARSIS-based fusion method, i.e., A trou wavelet transform-model 3. Simulated images of the sensors Pleiades and SPOT-5 are used to illustrate the performances of the approach. Although this paper is limited in methods and data, we observe a better restitution of the geometry and an improvement in all indices classically used in quality budget in pansharpening. We present also a means to assess the respect of the synthesis property from an MTF point of view.
机译:地球观测卫星提供的多光谱(MS)图像的空间分辨率通常较差,而全色图像(PAN)的空间分辨率则要好两倍或四倍。数据融合是一种通过利用PAN的高空间分辨率来合成比原始图像具有更高空间分辨率的MS图像的方法。此过程通常称为“锐化”。合成属性指出,如果合成的MS图像具有高分辨率,则它们应尽可能接近于相应传感器所采集的图像。基于解决方案空间注入概念(ARSIS)的方法能够提供具有良好光谱质量的合成图像,但是其几何质量仍可以改善。我们提出了关于几何形状的合成属性的更精确定义。然后,我们提出一种方法,该方法明确考虑了融合过程中PAN和MS之间调制传递函数(MTF)的差异。该方法应用于现有的基于ARSIS的融合方法,即Trou小波变换模型3。使用传感器le和SPOT-5的仿真图像来说明该方法的性能。尽管本文的方法和数据有限,但我们观察到几何形状得到了更好的还原,并且在锐化中通常用在质量预算中的所有指标都有所改善。我们还提出了一种从MTF角度评估合成性能方面的方法。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号