Super-resolution on remote sensing images

Yuting Yang, Kin Man Lam, Junyu Dong, Xin Sun, Muwei Jian

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

1 Citation (Scopus)


High-resolution ocean remote sensing images are of vital importance in the research field of ocean remote sensing. However, the available ocean remote sensing images are composed of averaged data, whose resolution is lower than the instant remote sensing images. In this paper, we propose a very deep super-resolution learning model for remote-sensing image super-resolution. In our research, we target satellite-derived sea surface temperature (SST) images, a typical kind of ocean remote sensing image, as a specific case study of super-resolution on remote sensing images. In this paper, we propose a novel model architecture based on the very deep super-resolution (VDSR) model, to further enhance its performance. Furthermore, we evaluate the peak signal-to-noise ratio (PSNR) and perceptual loss of the model trained on the natural images and SST frames. We designed and applied our model to the China Ocean SST database, the Ocean SST database, and the Ocean-Front databases, all containing remote sensing images captured by advanced very high resolution radiometers (AVHRR). Experimental results show that our model performs better than the state-of-the-art models on SST frames.

Original languageEnglish
Title of host publicationInternational Workshop on Advanced Imaging Technology, IWAIT 2021
EditorsMasayuki Nakajima, Jae-Gon Kim, Wen-Nung Lie, Qian Kemao
ISBN (Electronic)9781510643642
Publication statusPublished - Mar 2021
Event2021 International Workshop on Advanced Imaging Technology, IWAIT 2021 - Kagoshima, Virtual, Japan
Duration: 5 Jan 20216 Jan 2021

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
ISSN (Print)0277-786X
ISSN (Electronic)1996-756X


Conference2021 International Workshop on Advanced Imaging Technology, IWAIT 2021
CityKagoshima, Virtual

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Condensed Matter Physics
  • Computer Science Applications
  • Applied Mathematics
  • Electrical and Electronic Engineering


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