RSP Science Hub
  • Register
  • Login

International Research Journal on Advanced Science Hub

Notice

As part of Open Journals’ initiatives, we create website for scholarly open access journals. If you are responsible for this journal and would like to know more about how to use the editorial system, please visit our website at https://ejournalplus.com or
send us an email to info@ejournalplus.com

We will contact you soon

  1. Home
  2. Volume 3, Issue Special Issue ICOST 2S
  3. Authors

Current Issue

By Issue

By Subject

Keyword Index

Author Index

Indexing Databases XML

About Journal

Aims and Scope

Editorial Board

Editorial Staff

Publication Ethics

Indexing and Abstracting

Related Links

Peer Review Process

News

Digital Archiving & Preservation Policy

Editor and Reviewer guidelines

Noise Reduction from L-Band ALOSPALSAR Data Set Using Spatial Domain Gaussian Low-Pass Filter

    Atiya Irfan Shaikh Sayyad Shafiyoddin Badroddin

International Research Journal on Advanced Science Hub, 2021, Volume 3, Issue Special Issue ICOST 2S, Pages 87-93
10.47392/irjash.2021.045

  • Show Article
  • Download
  • Cite
  • Statistics
  • Share

Abstract

The microwave remote sensing system is the broadest tool use to get information about the earth's objects in the form of images. These images are very much affected by various noises, which affects the precision of the images. These, in turn, affect the information present in it. To improve, the quality of satellite images, denoising of the image is an essential task. Gaussian noise majorly seen in all remotely sensed images. Natural sources cause this noise during the acquisition of the image. Many Researchers used Numerous types of filtering techniques to reduce such noises. In this paper, we have focused on lowering Gaussian noise from the microwave satellite dataset. To minimise Gaussian noise, the spatial domain Gaussian Low Pass Filter (GLPF) with different window sizes applied to a single Polarized (HH) L-band ALOS PALSAR satellite SLC level-1 Datasets. The results of filtered images are evaluated based on the respective mean, standard deviation and coefficient of variance.
Keywords:
    Microwave Image Gaussian Noise Gaussian Low Pass filter window size
  • PDF (921 K)
  • XML
(2021). Noise Reduction from L-Band ALOSPALSAR Data Set Using Spatial Domain Gaussian Low-Pass Filter. International Research Journal on Advanced Science Hub, 3(Special Issue ICOST 2S), 87-93. doi: 10.47392/irjash.2021.045
Atiya Irfan Shaikh; Sayyad Shafiyoddin Badroddin. "Noise Reduction from L-Band ALOSPALSAR Data Set Using Spatial Domain Gaussian Low-Pass Filter". International Research Journal on Advanced Science Hub, 3, Special Issue ICOST 2S, 2021, 87-93. doi: 10.47392/irjash.2021.045
(2021). 'Noise Reduction from L-Band ALOSPALSAR Data Set Using Spatial Domain Gaussian Low-Pass Filter', International Research Journal on Advanced Science Hub, 3(Special Issue ICOST 2S), pp. 87-93. doi: 10.47392/irjash.2021.045
Noise Reduction from L-Band ALOSPALSAR Data Set Using Spatial Domain Gaussian Low-Pass Filter. International Research Journal on Advanced Science Hub, 2021; 3(Special Issue ICOST 2S): 87-93. doi: 10.47392/irjash.2021.045
  • RIS
  • EndNote
  • BibTeX
  • APA
  • MLA
  • Harvard
  • Vancouver
  • Article View: 106
  • PDF Download: 112
  • LinkedIn
  • Twitter
  • Facebook
  • Google
  • Telegram
  • Home
  • Glossary
  • News
  • Aims and Scope
  • Privacy Policy
  • Sitemap
This journal is licensed under a Creative Commons Attribution 4.0 International (CC-BY 4.0)

Powered by eJournalPlus