Optics and Precision Engineering, Volume. 31, Issue 21, 3156(2023)
Target detection using spectral unmixing
[1] [1] 时旭, 李远, 黄鸿. 面向高光谱显微图像血细胞分类的空-谱可分离卷积神经网络[J]. 光学 精密工程, 2022, 30(8):960-969. doi: 10.37188/ope.20223008.0960SHIX, LIY, HUANGH. Spatial-spectral separable convolutional neural network for cell classification of hyperspectral microscopic images[J]. Optics and Precision Engineering, 2022, 30(8):960-969.(in Chinese). doi: 10.37188/ope.20223008.0960
[2] [2] 于磊, 陈结祥, 薛辉, 等. 用于沿海水色探测的机载紫外-可见-近红外高光谱成像仪[J]. 光学 精密工程, 2018, 26(10): 2363-2370. doi: 10.3788/ope.20182610.2363YUL, CHENJ X, XUEH, et al. Hyper-spectral imaging sensor in UV-VIS-NIR region in air for coastal ocean observation[J]. Opt. Precision Eng., 2018, 26(10): 2363-2370. (in Chinese). doi: 10.3788/ope.20182610.2363
[3] [3] 漆成莉, 周方, 吴春强, 等. 风云三号红外高光谱探测仪的光谱定标[J]. 光学 精密工程, 2019, 27(4):747-755. doi: 10.3788/ope.20192704.0747QICH L, ZHOUF, WUCH Q, et al. Spectral calibration of Fengyun-3 satellite high-spectral resolution infrared sounder[J]. Optics and Precision Engineering, 2019, 27(4):747-755.(in Chinese). doi: 10.3788/ope.20192704.0747
[4] S G SONG, D GIBSON, S AHMADZADEH et al. Low-cost hyper-spectral imaging system using a linear variable bandpass filter for agritech applications. Applied Optics, 59, A167-A175(2020).
[5] [5] 张兵. 高光谱图像处理与信息提取前沿[J]. 遥感学报, 2016, 20(5):1062-1090. doi: 10.11834/jrs.20166179ZHANGB. Advancement of hyperspectral image processing and information extraction[J]. Journal of Remote Sensing, 2016, 20(5):1062-1090.(in Chinese). doi: 10.11834/jrs.20166179
[6] A MORALES-SILLERO, J A F PIERNA, G SINNAEVE et al. Quantification of protein in wheat using near infrared hyperspectral imaging: performance comparison with conventional near infrared spectroscopy. Journal of Near Infrared Spectroscopy, 26, 186-195(2018).
[7] [7] 王勃凡, 赵海涛. 基于径向基激活函数的高光谱小目标检测[J]. 光学学报, 2021, 41(23): 2311001. doi: 10.3788/AOS202141.2311001WANGB F, ZHAOH T. Hyperspectral small target detection based on radial basis function[J]. Acta Optica Sinica, 2021, 41(23): 2311001.(in Chinese). doi: 10.3788/AOS202141.2311001
[8] [8] 杨帅, 计璐艳, 耿修瑞. 基于滤波张量分析的高光谱目标检测方法[J]. 中国科学院大学学报, 2022, 39(5):684-694.YANGSH, JIL Y, GENGX R. Hyperspectral target detection method based on filter tensor analysis[J]. Journal of University of Chinese Academy of Sciences, 2022, 39(5):684-694.(in Chinese)
[9] [9] 阿茹罕, 原晓斌, 慕晓冬, 等. 结合扩展多属性剖面与快速局部RX算法的高光谱异常目标检测[J]. 光子学报, 2021, 50(9): 0910002.AR H, YUANX B, MUX D, et al. Hyperspectral abnormal target detection based on extended multi-attribute profile and fast local RX algorithm[J]. Acta Photonica Sinica, 2021, 50(9): 0910002.(in Chinese)
[10] [10] 张小荣, 胡炳樑, 潘志斌, 等. 基于张量表示的高光谱图像目标检测[J]. 光学 精密工程, 2019, 27(2): 488-498. doi: 10.3788/ope.20192702.0488ZHANGX R, HUB L, PANZH B, et al. Tensor representation based target detection for hyperspectral imagery[J]. Optics and Precision Engineering, 2019, 27(2): 488-498.(in Chinese). doi: 10.3788/ope.20192702.0488
[11] D CHONG, B HU, H GAO et al. Hyperspectral anomaly detection via super-resolution reconstruction with an attention mechanism. Applied Optics, 60, 8109-8119(2021).
[12] Y T WANG, S Q HUANG, Z G LIU et al. Locality preserving projection based on endmember extraction for hyperspectral image dimensionality reduction and target detection. Applied Spectroscopy, 70, 1573-1581(2016).
[13] S H HAN, J KEREKES, S HIGBEE et al. Band selection method for subpixel target detection using only the target reflectance signature. Applied Optics, 58, 2981-2993(2019).
[14] J C HARSANYI. Detection and Classification of Subpixel Spectral Signatures in Hyperspectral Image Sequences(1993).
[15] [15] 耿修瑞. 高光谱遥感图像目标探测与分类技术研究[D]. 北京: 中国科学院研究生院(遥感应用研究所), 2005.GENGX R. Research on Target Detection and Classification Technology of Hyperspectral Remote Sensing Images[D]. Beijing: Institute of Remote Sensing Applications, Chinese Academy of Sciences, 2005. (in Chinese)
[16] [16] 杨桄, 田张男, 李豪, 等. 基于线性解混的高光谱图像目标检测研究[J]. 激光技术, 2020, 44(2):43-147. doi: 10.7510/jgjs.issn.1001-3806.2020.02.001YANGG, TIANZH N, LIH, et al. Research of target detection of hyperspectral images in complex background based on linear unmixing[J]. Laser Technology, 2020, 44(2):43-147. (in Chinese). doi: 10.7510/jgjs.issn.1001-3806.2020.02.001
[17] C I CHANG, H REN, C C CHANG et al. Estimation of subpixel target size for remotely sensed imagery. IEEE Transactions on Geoscience and Remote Sensing, 42, 1309-1320(2004).
Get Citation
Copy Citation Text
Lei ZHANG, Kai QIAO, Yinhua WU, Siyuan LI. Target detection using spectral unmixing[J]. Optics and Precision Engineering, 2023, 31(21): 3156
Category:
Received: Jun. 21, 2023
Accepted: --
Published Online: Jan. 5, 2024
The Author Email: WU Yinhua (yinhuawoo@163.com)