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浏览/检索结果: 共11条，第1-10条 帮助

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Classification of Benign–Malignant Thyroid Nodules Based on Hyperspectral Technology 期刊论文  OAI收割
Sensors, 2024, 卷号: 24, 期号: 10
作者:  Wang, Junjie;  Du, Jian;  Tao, Chenglong;  Qi, Meijie;  Yan, Jiayue
  |  收藏  |  浏览/下载：10/0  |  提交时间：2024/09/13
A Deep-Learning Based System for Rapid Genus Identification of Pathogens under Hyperspectral Microscopic Images 期刊论文  OAI收割
CELLS, 2022, 卷号: 11, 期号: 14
作者:  
  |  收藏  |  浏览/下载：44/0  |  提交时间：2022/08/31
Hyperspectral image classification based on optimized convolutional neural networks with 3D stacked blocks 期刊论文  OAI收割
EARTH SCIENCE INFORMATICS, 2022, 页码: 13
作者:  Zhang, Xiaoxia;  Guo, Yong;  Zhang, Xia
  |  收藏  |  浏览/下载：37/0  |  提交时间：2022/08/22
WEIGHTED SPARSITY CONSTRAINT TENSOR FACTORIZATION FOR HYPERSPECTRAL UNMIXING 会议论文  OAI收割
Brussels, Belgium, 2021-07-12
作者:  Yuan, Yuan;  Dong, Le
  |  收藏  |  浏览/下载：16/0  |  提交时间：2022/04/11
Evaluation of growth characteristics of Aspergillus parasiticus inoculated in different culture media by shortwave infrared (SWIR) hyperspectral imaging 期刊论文  OAI收割
JOURNAL OF INNOVATIVE OPTICAL HEALTH SCIENCES, 2018, 卷号: 11, 期号: 5, 页码: 1850031
作者:  Chu, Xuan;  Wang, Wei;  Ni, Xinzhi;  Zheng, Haitao;  Zhao, Xin
  |  收藏  |  浏览/下载：102/0  |  提交时间：2019/09/24
Estimating Canopy Characteristics of Inner Mongolia's Grasslands from Field Spectrometry 期刊论文  OAI收割
REMOTE SENSING, 2014, 卷号: 6, 期号: 3, 页码: 2239-2254
作者:  Zhang, Feng;  John, Ranjeet;  Zhou, Guangsheng;  Shao, Changliang;  Chen, Jiquan
  |  收藏  |  浏览/下载：10/0  |  提交时间：2023/03/30
An improved hyperspectral classification algorithm based on back-propagation neural networks (EI CONFERENCE) 会议论文  OAI收割
2012 2nd International Conference on Remote Sensing, Environment and Transportation Engineering, RSETE 2012, June 1, 2012 - June 3, 2012, Nanjing, China
作者:  Yu P.;  Yu P.
收藏  |  浏览/下载：35/0  |  提交时间：2013/03/25
In this paper  a new method is proposed to improve the classification performance of hyperspectral images by combining the principal component analysis (PCA)  genetic algorithm (GA)  and artificial neural networks (ANNs). First  some characteristics of the hyperspectral remotely sensed data  such as high correlation  high redundancy  etc.  are investigated. Based on the above analysis  we propose to use the principal component analysis to capture the main information existing in the hyperspectral images and reduce its dimensionality consequently. Next  we use neural networks to classify the reduced hyperspectral data. Since the back-propagation neural network we used is easy to suffer from the local minimum problem  we adopt a genetic algorithm to optimize the BP network's weights and the threshold. Experimental results show that the classification accuracy is improved and the time of calculation is reduced as well. 2012 IEEE.  
Hyperspectral Characteristics of Spring Maize from Jointing to Silking Stage under Drought Stress 期刊论文  OAI收割
SPECTROSCOPY AND SPECTRAL ANALYSIS, 2012, 卷号: 32, 期号: 12, 页码: 3358-3362
作者:  Wang Hongbo;  Feng Rui;  Ji Ruipeng;  Wu Jinwen;  Yu Wenying
  |  收藏  |  浏览/下载：19/0  |  提交时间：2021/02/02
Hyperspectral remote sensing monitoring of grassland degradation 期刊论文  iSwitch采集
Spectroscopy and spectral analysis, 2010, 卷号: 30, 期号: 10, 页码: 2734-2738
作者:  Wang Huan-jiong;  Fan Wen-jie;  Cui Yao-kui;  Zhou Lei;  Yan Bin-yan
收藏  |  浏览/下载：40/0  |  提交时间：2019/05/10
Hyperspectral Remote Sensing Monitoring of Grassland Degradation SCI/SSCI论文  OAI收割
2010
Wang H. J.; Fan W. J.; Cui Y. K.; Zhou L.; Yan B. Y.; Wu D. H.; Xu X. R.
收藏  |  浏览/下载：32/0  |  提交时间：2012/06/08