TOWARDS HIGH RESOLUTION FEATURE MAPPNG WITH SENTINEL-2 IMAGES

被引：2

作者：

Kapilaratne, R. G. C. J. ^{[1
]}

Kakuta, S. ^{[1
]}

机构：

[1] Asia Air Survey Co Ltd, Asao Ward, Kawasaki, Kanagawa, Japan

来源：

GEOSPATIAL WEEK 2023, VOL. 10-1 | 2023年

关键词：

Single Image Super Resolution; Sentinel-2; Images; SPOT Images; Generative Adversarial Networks; Spectral Quality; SUPERRESOLUTION; COVER;

D O I：

10.5194/isprs-annals-X-1-W1-2023-137-2023

中图分类号：

K85 [文物考古];

学科分类号：

0601 ;

摘要：

High resolution feature mapping from medium resolution imageries gained special attention among remote sensing user community with the launch of Copernicus' Sentinel-2 mission due to its capability to provide global coverage with relatively high revisit time at no cost. In this paper, we have examined and evaluated the potential of high resolution (2.5m) feature mapping from Sentinel-2 imageries with the aid of artificial intelligence. Generative adversarial network (GAN) is used as single image super resolution (SISR) technology in this study. And SPOT satellite imageries are used as corresponding high-resolution images. From qualitative and quantitative analysis of the experimental results found that spectral quality of the generated images is adequate for remote sensing applications. In conclusion, high resolution feature mapping from Sentinel-2 images found to be feasible to a greater extent for remote sensing applications.

引用

页码：137 / 144

页数：8

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