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Deep neural network: As the novel pipelines in multiple preprocessing for Raman spectroscopy 期刊论文
SPECTROCHIMICA ACTA PART A-MOLECULAR AND BIOMOLECULAR SPECTROSCOPY, 2023, 卷号: 302
作者:  Gao, Chi;  Zhao, Peng;  Fan, Qi;  Jing, Haonan;  Dang, Ruochen;  Sun, Weifeng;  Feng, Yutao;  Hu, Bingliang;  Wang, Quan
Adobe PDF(2962Kb)  |  收藏  |  浏览/下载：91/0  |  提交时间：2023/09/25
Raman spectroscopy  Deep learning  Baseline correction  Spectroscopy denoising  
Extraction and analysis algorithms for Sanxingdui cultural relics based on hyperspectral imaging 期刊论文
Computers and Electrical Engineering, 2023, 卷号: 111
作者:  Qiu, Shi;  Zhang, Pengchang;  Li, Siyuan;  Hu, Bingliang
Adobe PDF(8586Kb)  |  收藏  |  浏览/下载：64/0  |  提交时间：2023/10/30
Sanxingdui Ruins  Hyperspectral  Unet  FCM  
Design and Analysis of a Stable Support Structure for a Near-Infrared Space-Borne Doppler Asymmetric Spatial Heterodyne Interferometer 期刊论文
APPLIED SCIENCES-BASEL, 2023, 卷号: 13, 期号: 18
作者:  Sun, Jian;  Wang, Wei;  Chang, Chenguang;  Fu, Di;  Hao, Xiongbo;  Li, Juan;  Feng, Yutao;  Hu, Bingliang
Adobe PDF(10807Kb)  |  收藏  |  浏览/下载：75/0  |  提交时间：2023/11/02
DASH interferometer  spectral resolution  optimal structure  spring constant  mechanical stress  shear stress  
Automated pattern generation for swarm robots using constrained multi-objective genetic programming 期刊论文
SWARM AND EVOLUTIONARY COMPUTATION, 2023, 卷号: 81
作者:  Fan, Zhun;  Wang, Zhaojun;  Li, Wenji;  Zhu, Xiaomin;  Hu, Bingliang;  Zou, An-Min;  Bao, Weidong;  Gu, Minqiang;  Hao, Zhifeng;  Jin, Yaochu
Adobe PDF(3731Kb)  |  收藏  |  浏览/下载：68/0  |  提交时间：2023/07/17
Gene regulatory network (GRN)  Entrapping pattern generation  Self-organization  Constrained multi-objective genetic  programming (CMOGP)  
Adaptive convolution kernel network for change detection in hyperspectral images 期刊论文
APPLIED OPTICS, 2023, 卷号: 62, 期号: 8, 页码: 2039-2047
作者:  Liu, Song;  Li, Haiwei;  Chen, Junyu;  Li, Siyuan;  Song, Liyao;  Zhang, Geng;  Hu, Bingliang
Adobe PDF(18855Kb)  |  收藏  |  浏览/下载：45/0  |  提交时间：2023/08/28
VG-Swarm: A Vision-Based Gene Regulation Network for UAVs Swarm Behavior Emergence 期刊论文
IEEE Robotics and Automation Letters, 2023, 卷号: 8, 期号: 3, 页码: 1175-1182
作者:  Li, Huanlin;  Cai, Yuwei;  Hong, Juncao;  Xu, Peng;  Cheng, Hui;  Zhu, Xiaomin;  Hu, Bingliang;  Hao, Zhifeng;  Fan, Zhun
Adobe PDF(2813Kb)  |  收藏  |  浏览/下载：110/0  |  提交时间：2023/02/28
Aerial systems  Perception and autonomy  biologically-inspired robots  swarm robotics  
Optomechanical design analysis and development of space-based visible coded spectrometer based on curved prism dispersion 期刊论文
Journal of Optics (India), 2023
作者:  Jia, Xinyin;  Wang, Feicheng;  Liu, Jia;  Zhang, Zhanghui;  Li, Siyuan;  Yang, Ying;  Hu, Bingliang;  He, Xianqiang;  Liu, Yupeng
Adobe PDF(4321Kb)  |  收藏  |  浏览/下载：75/0  |  提交时间：2024/01/19
Dispersion spectrometer  Curved prism  Optomechanical design  
Sanxingdui Cultural Relics Recognition Algorithm Based on Hyperspectral Multi-Network Fusion 期刊论文
CMC-COMPUTERS MATERIALS & CONTINUA, 2023, 卷号: 77, 期号: 3, 页码: 3783-3800
作者:  Qiu, Shi;  Zhang, Pengchang;  Tang, Xingjia;  Zeng, Zimu;  Zhang, Miao;  Hu, Bingliang
Adobe PDF(2336Kb)  |  收藏  |  浏览/下载：67/0  |  提交时间：2024/03/26
Sanxingdui  cultural relic  spatial features  hyperspectral  integration  
Image blurring and spectral drift in imaging spectrometer system with an acousto-optic tunable filter and its application in UAV remote sensing 期刊论文
INTERNATIONAL JOURNAL OF REMOTE SENSING, 2022, 卷号: 43, 期号: 19-24, 页码: 6957-6978
作者:  Liu, Hong;  Hou, Xingsong;  Hu, Bingliang;  Yu, Tao;  Zhang, Zhoufeng;  Liu, Xiao;  Liu, Jiacheng;  Wang, Xueji;  Zhong, Jingjing;  Tan, Zhengxuan
Adobe PDF(5386Kb)  |  收藏  |  浏览/下载：103/0  |  提交时间：2023/02/06
Retrieval of Water Quality Parameters Based on Near-Surface Remote Sensing and Machine Learning Algorithm 期刊论文
REMOTE SENSING, 2022, 卷号: 14, 期号: 21
作者:  Zhao, Yubo;  Yu, Tao;  Hu, Bingliang;  Zhang, Zhoufeng;  Liu, Yuyang;  Liu, Xiao;  Liu, Hong;  Liu, Jiacheng;  Wang, Xueji;  Song, Shuyao
Adobe PDF(6255Kb)  |  收藏  |  浏览/下载：112/0  |  提交时间：2022/12/02
water quality monitoring  near-surface remote sensing  machine learning algorithm  ensemble learning model