摘要(中) 高解析影像一直以來都是人們所追求的, 由於從高解析影像中可以取得更多的資訊,
例如為高解析衛星影像具備較佳的分類區域與分析. 一般而言, 解析度通常以增加感測器的密度 …

Super-resolution reconstruction of sequence remote sensing image is a technology which
handles multiple low-resolution satellite remote sensing images with complementary …

The existing methods are hard to highlight the details after super resolution reconstruction,
so it is proposed a super-resolution model frame to enhance the multi-scale details. Firstly …

High-resolution satellite imagery is used in diverse fields such as meteorological
observation, topography observation, remote sensing (RS), military facility monitoring and …

A new effective image super resolution (SR) algorithm which is a hybrid of multiple frame
Variational Bayesian (VB) reconstruction and single frame Dictionary Learning (DL) …

Super-resolution reconstruction consists in generating a high-resolution image from a single
low-resolution image or multiple images presenting the same area of interest. Existing state …

In view of the poor effect of edge detail information reconstruction in remote sensing image
super-resolution reconstruction, a super-resolution reconstruction method based on self …

Image super resolution (SR) reconstruction technique is receiving increasing attention from
the image processing community, and it has been widely used in many applications such as …

High-quality images have a significant and essential role in many applications such as
remote sensing, aerial imaging, military fields, medical diagnosis, object tracking, video …

Vivid main structure and rich texture detail are important factors with which to determine the
quality of high-resolution images after super-resolution (SR) reconstruction. Owing to the …