文章基本信息

标题：Supervised conversion from Landsat-8 images to Sentinel-2 images with deep learning
本地全文：下载
作者：Sani M. Isa ; Suharjito ; Gede Putera Kusuma 等
期刊名称：European Journal of Remote Sensing
电子版ISSN：2279-7254
出版年度：2021
卷号：54
期号：1
页码：182-208
DOI：10.1080/22797254.2021.1875267
摘要：In a specific remote sensing study design, the utilization of images from a particular satellite is necessary. However, the images might be unavailable in a certain time range. Therefore, a conversion method from available remote sensing images at the time range is required. In this paper, we proposed machine learning models that are capable to convert Landsat-8 images to Sentinel-2 images. The models are inspired by the advancement of super-resolution model based on Deep learning. The result of this study shows that the proposed models can predict Sentinel-2 images which are quantitatively and qualitatively similar to the original images.
关键词：Satellite image conversion ; remote sensing ; deep learning ; Landsat-8 ; Sentinel-2