Dimensionality Reduction Evaluation of Image Stabilization Algorithms in Solar Loading Thermography Scenario Based on Advanced Techniques

Yinuo Ding; Gilda Russo; Stefano Sfarra; Hai Zhang

doi:10.1007/978-3-032-13156-0_7

Dimensionality Reduction Evaluation of Image Stabilization Algorithms in Solar Loading Thermography Scenario Based on Advanced Techniques

Yinuo Ding
, Gilda Russo
, Stefano Sfarra
, Hai Zhang^*

^*Corresponding author for this work

School of Astronautics

Harbin Institute of Technology
University of L'Aquila

Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review

Abstract

This study utilizes Solar Loading Thermography (SLT) to extract data from a century-old book, employing a U-net-based contour recognition technique to eliminate the fluctuation noise encountered during data acquisition. Also, Fast Fourier Transform (FFT) and Fast Iterative Filtering (FIF) algorithms were used to comprehensively evaluate the data before and after stabilization.

Original language	English
Title of host publication	Springer Proceedings in Materials
Publisher	Springer
Pages	112-123
Number of pages	12
DOIs	https://doi.org/10.1007/978-3-032-13156-0_7
State	Published - 2025

Publication series

Name	Springer Proceedings in Materials
Volume	101
ISSN (Print)	2662-3161
ISSN (Electronic)	2662-317X

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 7 Affordable and Clean Energy

Keywords

Advanced techniques
Frame fluctuation noise
Infrared thermography
SLT
U-net

Access to Document

10.1007/978-3-032-13156-0_7

Cite this

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title = "Dimensionality Reduction Evaluation of Image Stabilization Algorithms in Solar Loading Thermography Scenario Based on Advanced Techniques",

abstract = "This study utilizes Solar Loading Thermography (SLT) to extract data from a century-old book, employing a U-net-based contour recognition technique to eliminate the fluctuation noise encountered during data acquisition. Also, Fast Fourier Transform (FFT) and Fast Iterative Filtering (FIF) algorithms were used to comprehensively evaluate the data before and after stabilization.",

keywords = "Advanced techniques, Frame fluctuation noise, Infrared thermography, SLT, U-net",

author = "Yinuo Ding and Gilda Russo and Stefano Sfarra and Hai Zhang",

note = "Publisher Copyright: {\textcopyright} The Author(s), under exclusive license to Springer Nature Switzerland AG 2025.",

year = "2025",

doi = "10.1007/978-3-032-13156-0\_7",

language = "英语",

series = "Springer Proceedings in Materials",

publisher = "Springer",

pages = "112--123",

booktitle = "Springer Proceedings in Materials",

address = "德国",

}

Dimensionality Reduction Evaluation of Image Stabilization Algorithms in Solar Loading Thermography Scenario Based on Advanced Techniques. / Ding, Yinuo; Russo, Gilda; Sfarra, Stefano et al.
Springer Proceedings in Materials. Springer, 2025. p. 112-123 (Springer Proceedings in Materials; Vol. 101).

Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review

TY - CHAP

T1 - Dimensionality Reduction Evaluation of Image Stabilization Algorithms in Solar Loading Thermography Scenario Based on Advanced Techniques

AU - Ding, Yinuo

AU - Russo, Gilda

AU - Sfarra, Stefano

AU - Zhang, Hai

PY - 2025

Y1 - 2025

N2 - This study utilizes Solar Loading Thermography (SLT) to extract data from a century-old book, employing a U-net-based contour recognition technique to eliminate the fluctuation noise encountered during data acquisition. Also, Fast Fourier Transform (FFT) and Fast Iterative Filtering (FIF) algorithms were used to comprehensively evaluate the data before and after stabilization.

AB - This study utilizes Solar Loading Thermography (SLT) to extract data from a century-old book, employing a U-net-based contour recognition technique to eliminate the fluctuation noise encountered during data acquisition. Also, Fast Fourier Transform (FFT) and Fast Iterative Filtering (FIF) algorithms were used to comprehensively evaluate the data before and after stabilization.

KW - Advanced techniques

KW - Frame fluctuation noise

KW - Infrared thermography

KW - SLT

KW - U-net

UR - https://www.scopus.com/pages/publications/105026949914

U2 - 10.1007/978-3-032-13156-0_7

DO - 10.1007/978-3-032-13156-0_7

M3 - 章节

AN - SCOPUS:105026949914

T3 - Springer Proceedings in Materials

SP - 112

EP - 123

BT - Springer Proceedings in Materials

PB - Springer

ER -

Dimensionality Reduction Evaluation of Image Stabilization Algorithms in Solar Loading Thermography Scenario Based on Advanced Techniques

Abstract

Publication series

UN SDGs

Keywords

Access to Document

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