Chinese Optics, Volume. 17, Issue 6, 1316(2024)
Image reconstruction of snapshot multispectral camera based on an attention residual network
[1] [1] JUNI J D D, BACKES A R, ESCARPINATI M C. Detection of control points f UAVmultispectral sensed data registration through the combining of feature des[C]. Proceedings of the 14th International Joint Conference on Computer Vision, Imaging Computer Graphics They Applications, SciTePress, doi: 10.52200007580204440451.
[2] [2] MANGAI U G, SAMANTA S, DAS S, et al. A hierarchical multiclassifier framewk f lfm segmentation using multispectral satellite images a case study over the Indian subcontinent[C]. 2010 Fourth PacificRim Symposium on Image Video Technology, IEEE, 2010: 306313, doi: 10.1109PSIVT.2010.58.
[4] [4] CHEN I T, LIN H Y. Detection, counting maturity assessment of cherry tomatoes using multispectral images machine learning techniques[C]. Proceedings of the 15th International Joint Conference on Computer Vision, Imaging Computer Graphics They Applications, SciTePress, 2020: 759766, doi: 10.52200008874907590766.
[6] [6] SHINODA K, OGAWA S, YANAGI Y, et al. Multispectral filter array demosaicking f pathological images[C]. 2015 AsiaPacific Signal Infmation Processing Association Annual Summit Conference (APSIPA), IEEE, 2015: 697703, doi: 10.1109APSIPA.2015.7415362.
[7] [7] ZENTENO O, TREUILLET S, LUCAS Y. 3D cylinder pose estimation by maximization of binary masks similarity: a simulation study f multispectral endoscopy image registration[C]. Proceedings of the 14th International Joint Conference on Computer Vision, Imaging Computer Graphics They Applications, SciTePress, 2019: 857864, doi: 10.52200007400808570864.
[15] [15] AGGARWAL H K, MAJUMDAR A. Singlesens multispectral image demosaicing algithm using learned interpolation weights[C]. 2014 IEEE Geoscience Remote Sensing Symposium, IEEE, 2014: 20112014, doi: 10.1109IGARSS.2014.6946857.
[20] [20] XIONG F CH, ZHOU J, QIAN Y T. Material based object tracking in hyperspectral videos: benchmark algithms[Z]. arXiv: 1812.04179, 2019.
[25] [25] SHINODA K, YOSHIBA S, HASEGAWA M. Deep demosaicking f multispectral filter arrays[Z]. arXiv: 1808.08021, 2018.
[26] [26] PAN ZH H, LI B P, BAO Y Z, et al. Deep panchromatic image guided residual interpolation f multispectral image demosaicking[C]. 2019 10th Wkshop on Hyperspectral Imaging Signal Processing: Evolution in Remote Sensing (WHISPERS), IEEE, 2019: 15, doi: 10.1109WHISPERS.2019.8920868.
[30] KRUSE F A, LEFKOFF A B, BOARDMAN J W et al. The spectral image processing system (SIPS)-interactive visualization and analysis of imaging spectrometer data[J]. AIP Conference Proceedings, 283, 192-201(1993).
[31] [31] WANG X T, YU K, WU SH X, et al. ESRGAN: Enhanced superresolution generative adversarial wks[C]. European Conference on Computer Vision, Springer, 2018: 6379.
[33] [33] KIM J, LEE J K, LEE K M. Deeplyrecursive convolutional wk f image superresolution[C]. 2016 IEEE Conference on Computer Vision Pattern Recognition (CVPR), IEEE, 2016.
[34] [34] KINGMA D P, BA L J. Adam: A method f stochastic optimization[C]. 3rd International Conference on Learning Representations (ICLR), ICLR, 2017.
[35] [35] WOO S, PARK J, LEE J Y, et al. CBAM: convolutional block attention module[M]. FERRARI V, HEBERT M, SMINCHISESCU C, et al. Computer Vision – ECCV 2018. Cham: Springer, 2018: 319, doi: 10.10079783030012342_1.
Get Citation
Copy Citation Text
Gang-qi YAN, Zong-lin LIANG, Yan-song SONG, Ke-yan DONG, Bo ZHANG, Tian-ci LIU, Lei ZHANG, Yan-bo WANG. Image reconstruction of snapshot multispectral camera based on an attention residual network[J]. Chinese Optics, 2024, 17(6): 1316
Category:
Received: Oct. 31, 2023
Accepted: --
Published Online: Jan. 14, 2025
The Author Email: