The Landsat 7 imagery gap filling using median filter method

Other Title(s)

ملء فجوة صور لاندسات 7 باستخدام طريقة مرشح الوسيط

Joint Authors

Faiq, Wisam Abbas
Mahdi, Ala Suud

Source

Iraqi Journal of Physics

Issue

Vol. 17, Issue 42 (31 Dec. 2019), pp.158-162, 5 p.

Publisher

University of Baghdad College of Science

Publication Date

2019-12-31

Country of Publication

Iraq

No. of Pages

5

Main Subjects

Physics

Topics

Abstract EN

The Enhanced Thematic Mapper Plus (ETM+) was launched on the Landsat-7 satellite on April 15, 1999.

Four years later, the image was dramatically changed in May 2003 by ETM+ due to the failure of the Scan Line Corrector (SLC).

The image contains 22 % The damaged pixels.

Intermediate filter is one of the important filters for correcting image noise, processing and basic construction in many image processing situations.

Digital images are often distorted by pulse noise due to sensor errors, resulting in communication channel errors, such as switching signals from analog to digital.

This error inevitably changes the intensity of the pixel image, while some pixels remain unchanged.

To get rid of driving noise and improve the quality of the image we are working on, we will use an average filter.

Landsat-7 data was corrected using a focal analysis method that includes the median filtering process.

We provide a method based on a certain algorithm to apply the filter to images.

We apply the median filter (3x3) to correct and correct the image taken by Landsat 7, and we will restore the damaged pixels using the ERDAS imaging Software.

American Psychological Association (APA)

Faiq, Wisam Abbas& Mahdi, Ala Suud. 2019. The Landsat 7 imagery gap filling using median filter method. Iraqi Journal of Physics،Vol. 17, no. 42, pp.158-162.
https://search.emarefa.net/detail/BIM-899742

Modern Language Association (MLA)

Faiq, Wisam Abbas& Mahdi, Ala Suud. The Landsat 7 imagery gap filling using median filter method. Iraqi Journal of Physics Vol. 17, no. 42 (2019), pp.158-162.
https://search.emarefa.net/detail/BIM-899742

American Medical Association (AMA)

Faiq, Wisam Abbas& Mahdi, Ala Suud. The Landsat 7 imagery gap filling using median filter method. Iraqi Journal of Physics. 2019. Vol. 17, no. 42, pp.158-162.
https://search.emarefa.net/detail/BIM-899742

Data Type

Journal Articles

Language

English

Notes

Includes bibliographical references : p. 162

Record ID

BIM-899742