Satellite based band features change detection using discrete fractional Fourier transform

safa, raziyeh; zeaieanfirouzabadi, parviz; tavakoli sabour, sayed mohammad

doi:10.22034/KJES.2023.9.1.106261

Volume 9, Issue 1 (Spring & Summer 2023) KJES 2023, 9(1): 116-149 | Back to browse issues page

‎ 10.22034/KJES.2023.9.1.106261

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safa R, zeaieanfirouzabadi P, tavakoli sabour S M. Satellite based band features change detection using discrete fractional Fourier transform. KJES 2023; 9 (1) :116-149
URL: http://gnf.khu.ac.ir/article-1-2827-en.html

Satellite based band features change detection using discrete fractional Fourier transform

Raziyeh Safa¹

, Parviz Zeaieanfirouzabadi ^*

², Sayed mohammad Tavakoli sabour³

1- Kharazmi university
2- kharazmi university , p.zeaiean@gmail.com
3- kharazmi university

Abstract: (1031 Views)

Changes in earth surface features may occur due to internal or external changes. However, regardless of the origin of the change, detection and monitoring of these changes will contribute to environmental planning for sustainable development and optimal utilization of resources. In this sense, introducing and implementing methods that are successful in recognizing the magnitude and trend of change will be useful. For this reason, the processing of satellite images in different sciences and with different purposes has become one of the main areas of research. This study aims to identify the changing areas frequency domain using discrete fractional Fourier transform method and the optimal order of discrete fractional Fourier transform to determine the accuracy and completeness of change detection in satellite images. In this regard, due to the inability of existing software packages on detecting changes using discrete Fourier transform, a software has been developed in MATLAB environment. First, the accuracy of the output generated through developed software was evaluated on differential sample images. Then, using Landsat and Sentinel2 satellite images from different dates and finding the value of coefficient “a” in the Fourier fraction transform, different outputs were obtained. Here, the results of the change image obtained from the optimal fractional Fourier transform method were compared with the difference image. The bands 2, 3 and 4 of Sentinel 2 did not indicate any sensitivity to changes in geological structures. However, they showed most of the changes in vegetated areas. However, band 8 (infrared band) of this sensor not only detected changes on vegetated areas, but also revealed changes in geological structures.

Keywords: Remote Sensing, Change Detection, Discrete Fractional Fourier Transform, Sentinel 2 Sensor, Structural Geology.

Full-Text [PDF 2251 kb] (352 Downloads)

Type of Study: Original Research | Subject: Remote sensing and GIS
Received: 2023/06/17 | Accepted: 2023/09/1 | Published: 2023/09/17