| [1] |
余旭初, 冯伍法, 杨国鹏, 等. 高光谱影像分析与应用[M]. 北京:科学出版社, 2013.
|
|
[2]
|
|
LIU B X, ZHANG Q, LI Y, et al. Spatial-spectral jointed stacked autoencoder-based deep learning for oil slick extraction from hyperspectral
|
|
images[J]. Journal of the Indian Society of Remote Sensing, 2019, 47(12): 1989-1997.
|
| [3] |
SONG D M, LIU B, CHEN S C, et al. Classification of the different
|
|
thickness of the oil film based on wavelet transform spectrum information[J]. Aquatic Procedia, 2015, 3: 133-143.
|
| [4] |
FANG S A, HUANG X X, YIN D Y, et al. Research on the ultraviolet
|
|
reflectivity characteristic of simulative targets of oil spill on the ocean
|
| [J] |
. Spectroscopy and Spectral Analysis, 2010, 30(3): 738-742.
|
| [5] |
SUN J, JIANG S Y, ZHANG M X, et al. Detection of pesticide residues
|
|
in mulberey leaves using vis-nir hyperspectral imaging technology [J].
|
|
Journal of Residuals Science & Technology, 2016, 13(2): S125-S131
|
| [6] |
SU Z Z, ZHANG C, YAN T Y, et al. Application of hyperspectral imaging for maturity and soluble solids content determination of strawberry with deep learning approaches[J]. Frontiers in Plant Science, 2021, 12:736334.
|
| [7] |
杨 东, 王舒卉, 吴建华, 等. 玉米籽粒霉变等级高光谱图像检测方法研究[J]. 中国粮油学报, 2022, 37(11): 46-53.
|
| [8] |
JIANG Y L, ZHANG R Y, YU J, et al. Applications of visible and nearinfrared hyperspectral imaging for non-destructive detection of the agricultural products[J]. Advanced Materials Research, 2011, 317: 909-914.
|
| [9] |
曹 扬, 李艳红. 基于 OMI 遥感数据及地面数据的新疆部分城市NO2 污染特征分析及监测技术应用建议[J]. 环境工程学报, 2022,16(11): 3784-3795.
|
| [10] |
GUO H X, YANG K, WU F, et al. Regional inversion of soil heavy metal
|
|
Cr content in agricultural land using Zhuhai-1 hyperspectral images[J].Sensors, 2023, 23(21): 8756.
|
| [11] |
CAI Z, LEI S G, ZHAO Y B, et al. Spatial distribution and migration
|
|
characteristics of heavy metals in grassland open-pit coal mine dump soil interface[J]. International Journal of Environmental Research and Public Health, 2022, 19(8): 4441.
|
| [12] |
胡怡斌, 包妮沙, 刘善军, 等. 典型伪装材料高光谱特征及识别方法研究[J]. 光谱学与光谱分析, 2023, 43(1): 297-302.
|
| [13] |
郭 祥, 李瑞祎, 张 蕊, 等. 基于文献计量的生物质气化研究发展态势分析[J]. 环境工程, 2022, 40(7): 232-239.
|
| [14] |
MAO G Z, HU H Q, LIU X, et al. A bibliometric analysis of industrial
|
|
wastewater treatments from 1998 to 2019[J]. Environmental Pollution,2021, 275: 115785.
|
| [15] |
MELGANI F, BRUZZONE L. Classification of hyperspectral remote
|
|
sensing images with support vector machines[J]. IEEE Transactions on Geoscience and Remote Sensing, 2004, 42(8): 1778-1790.
|
| [16] |
BIOUCAS-DIAS J M, PLAZA A, DOBIGEON N, et al. Hyperspectral
|
|
unmixing overview: geometrical, statistical, and sparse regression-based
|
|
approaches[J]. IEEE Journal of Selected Topics in Applied Earth Observations & Remote Sensing, 2012, 5(2): 354-379.
|
| [17] |
NASCIMENTO J M P, DIAS J M B. Vertex component analysis: a fast algorithm to unmix hyperspectral data[J]. IEEE Transactions on Geoscience and Remote Sensing, 2005, 43(4): 898-910.
|
| [18] |
CHEN Y S, LIN Z H, ZHAO X, et al. Deep learning-based classification of hyperspectral data[J]. IEEE Journal of Selected Topics in Applied Earth Observations & Remote Sensing, 2014, 7(6): 2094-2107.
|
| [19] |
CHEN Y S, JIANG H L, LI C Y, et al. Deep feature extraction and classification of hyperspectral images based on convolutional neural networks[J]. IEEE Transactions on Geoscience and Remote Sensing, 2016,54(10): 6232-6251.
|
| [20] |
杜培军, 夏俊士, 薛朝辉, 等. 高光谱遥感影像分类研究进展[J]. 遥感学报, 2016, 20(2): 236-256.
|
| [21] |
童庆禧, 张 兵, 张立福. 中国高光谱遥感的前沿进展[J]. 遥感学报,2016, 20(5): 689-707.
|
| [22] |
宫 鹏, 黎 夏, 徐 冰. 高分辨率影像解译理论与应用方法中的一些研究问题[J]. 遥感学报, 2006, 10(1): 1-5.
|
| [23] |
张 兵. 高光谱图像处理与信息提取前沿[J]. 遥感学报, 2016, 20(05): 1062-1090.
|
| [24] |
胡运优, 徐 亮, 徐寒杨, 等. 基于多帧背景的泄漏气体自适应匹配滤波检测[J]. 光谱学与光谱分析, 2022, 42(10): 3307-3313.
|
| [25] |
孙秉才, 张静宇, 黄 伟, 等. 油气类危险化学品泄漏 FTIR 成像安
|
|
全监测技术研究与应用[J]. 安全与环境学报, 2022, 22(4): 2086-2090.
|
| [26] |
王钰豪, 刘建国, 徐 亮, 等. 傅里叶红外光谱气体检测限的定性分析[J]. 物理学报, 2022, 71(9): 85-92.
|
| [27] |
季 文, 李 宝, 李金旺. 基于高光谱矿物填图技术的金属矿产勘探研究[J]. 中国金属通报, 2023(19): 95-97.
|
| [28] |
ZOU Z Y, CHEN J, ZHOU M, et al. Identification of peanut storage period based on hyperspectral imaging technology[J]. Food Science and Technology, 2022, 42: 65822.
|
| [29] |
BAI X B, DIAN K, et al. Hyperspectral non-destructive analysis of red
|
|
meat quality: a review[J]. Spectroscopy and Spectral Analysis, 2022, 42(7): 1993-1998.
|
| [30] |
刘青松, 杜文静, 罗 博, 等. 飞机机翼表面损伤的近红外高光谱识别[J]. 光谱学与光谱分析, 2024, 44(11): 3069-3074.
|
| [31] |
李凯歌. 塞斯纳 172R 飞机蒙皮涂层高光谱数据库构建及无损检测模型研究[D]. 广汉: 中国民用航空飞行学院, 2024.
|
| [32] |
唐深兰. 基于近红外高光谱成像的机场跑道高危异物分类识别研究[D]. 广汉: 中国民用航空飞行学院, 2024.
|