Image blurring and spectral drift in imaging spectrometer system with an acousto-optic tunable filter and its application in UAV remote sensing. Issue 19 (17th December 2022)
- Record Type:
- Journal Article
- Title:
- Image blurring and spectral drift in imaging spectrometer system with an acousto-optic tunable filter and its application in UAV remote sensing. Issue 19 (17th December 2022)
- Main Title:
- Image blurring and spectral drift in imaging spectrometer system with an acousto-optic tunable filter and its application in UAV remote sensing
- Authors:
- Liu, Hong
Hou, Xingsong
Hu, Bingliang
Yu, Tao
Zhang, Zhoufeng
Liu, Xiao
Liu, Jiacheng
Wang, Xueji
Zhong, Jingjing
Tan, Zhengxuan - Abstract:
- ABSTRACT: In the design and research of an unmanned aerial vehicle-borne hyperspectral imager with an acousto-optic tunable filter (AOTF), the depth of the field range of the imaging objective lens is fixed, the spectral range of 400–1000nm is wide, and the AOTF crystal has different deflection angles for diffracted light of different wavelengths. These features all cause problems such as image blurring and spectral drifts. Therefore, we propose a solution using a tunable zoom lens and multi-modal spectrum registration to solve these problems. We also propose an improved image definition evaluation function using the zoom lens to obtain clear horizontal lines and blurred vertical lines and, thereby, hope to overcome image blurring in an AOTF spectrometer. The zoom parameters corresponding to the clear image in each spectral segment of the AOTF spectrometer can be determined rapidly and accurately. However, it is difficult to establish a mathematical model of the drift, using wavelength as a variable, to compensate the drift due to the clear image of each spectrum obtained using the zoom lens. The calibration method completes the registration of the spectral data cube composed of clear images, solving the problem of spectral band drift. Moreover, it has been verified through UAV-borne hyperspectral imaging that image blurring and spectral drift of the AOTF imaging spectrometer were significantly reduced, providing opportunities for the application and research of AOTF-basedABSTRACT: In the design and research of an unmanned aerial vehicle-borne hyperspectral imager with an acousto-optic tunable filter (AOTF), the depth of the field range of the imaging objective lens is fixed, the spectral range of 400–1000nm is wide, and the AOTF crystal has different deflection angles for diffracted light of different wavelengths. These features all cause problems such as image blurring and spectral drifts. Therefore, we propose a solution using a tunable zoom lens and multi-modal spectrum registration to solve these problems. We also propose an improved image definition evaluation function using the zoom lens to obtain clear horizontal lines and blurred vertical lines and, thereby, hope to overcome image blurring in an AOTF spectrometer. The zoom parameters corresponding to the clear image in each spectral segment of the AOTF spectrometer can be determined rapidly and accurately. However, it is difficult to establish a mathematical model of the drift, using wavelength as a variable, to compensate the drift due to the clear image of each spectrum obtained using the zoom lens. The calibration method completes the registration of the spectral data cube composed of clear images, solving the problem of spectral band drift. Moreover, it has been verified through UAV-borne hyperspectral imaging that image blurring and spectral drift of the AOTF imaging spectrometer were significantly reduced, providing opportunities for the application and research of AOTF-based hyperspectral imagers in more fields, such as remote sensing. Key policy highlights: A new method using a tunable zoom lens to solve the imaging blur of an AOTF spectrometer with wide spectral band is proposed, which is different from previous methods. Using the characteristics of a clear horizontal line and a blurred vertical line of an AOTF spectrometer, an improved image definition evaluation function is proposed to determine zoom parameters quickly and accurately. The multi-modal registration method realizes the registration of a spectral data cube, which solves the problem of spectral segment drift of an AOTF spectrometer and that of spectral image registration in UAV-borne remote sensing. … (more)
- Is Part Of:
- International journal of remote sensing. Volume 43:Issue 19/24(2022)
- Journal:
- International journal of remote sensing
- Issue:
- Volume 43:Issue 19/24(2022)
- Issue Display:
- Volume 43, Issue 19/24 (2022)
- Year:
- 2022
- Volume:
- 43
- Issue:
- 19/24
- Issue Sort Value:
- 2022-0043-NaN-0000
- Page Start:
- 6957
- Page End:
- 6978
- Publication Date:
- 2022-12-17
- Subjects:
- Remote sensing -- Periodicals
Télédétection -- Périodiques
621.3678 - Journal URLs:
- http://www.tandfonline.com/toc/tres20/current ↗
http://www.tandfonline.com/ ↗ - DOI:
- 10.1080/01431161.2022.2150395 ↗
- Languages:
- English
- ISSNs:
- 0143-1161
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 4542.528000
British Library DSC - BLDSS-3PM
British Library STI - ELD Digital store - Ingest File:
- 25649.xml