相关参考文献
注意：仅列出部分参考文献，下载原文获取全部文献信息。Coupled deep learning coded aperture design for compressive image classification
Jorge Bacca et al.
OPTICS EXPRESS (2020)
On the use of deep learning for computational imaging
George Barbastathis et al.
OPTICA (2019)
Novel data augmentation strategies to boost supervised segmentation of plant disease
Clement Douarre et al.
COMPUTERS AND ELECTRONICS IN AGRICULTURE (2019)
DeepCubeNet: reconstruction of spectrally compressive sensed hyperspectral images with deep neural networks
Daniel Gedalin et al.
OPTICS EXPRESS (2019)
Object Classification Using CNN-Based Fusion of Vision and LIDAR in Autonomous Vehicle Environment
Hongbo Gao et al.
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS (2018)
Deep Learning for Computer Vision: A Brief Review
Athanasios Voulodimos et al.
COMPUTATIONAL INTELLIGENCE AND NEUROSCIENCE (2018)
Pixel-level image fusion: A survey of the state of the art
Shutao Li et al.
INFORMATION FUSION (2017)
Laying the foundation to use Raspberry Pi 3 V2 camera module imagery for scientific and engineering purposes
Mary Pagnutti et al.
JOURNAL OF ELECTRONIC IMAGING (2017)
On the value of the Kullback-Leibler divergence for cost-effective spectral imaging of plants by optimal selection of wavebands
Landry Benoit et al.
MACHINE VISION AND APPLICATIONS (2016)
A data fusion detection method for fish freshness based on computer vision and near-infrared spectroscopy
Xingyi Huang et al.
ANALYTICAL METHODS (2016)
A New Pan-Sharpening Method With Deep Neural Networks
Wei Huang et al.
IEEE GEOSCIENCE AND REMOTE SENSING LETTERS (2015)
Hyperspectral and Multispectral Image Fusion Based on a Sparse Representation
Qi Wei et al.
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING (2015)
Hyperspectral Pansharpening: A Review
Laetitia Loncan et al.
IEEE GEOSCIENCE AND REMOTE SENSING MAGAZINE (2015)
Compressive Coded Aperture Spectral Imaging
Gonzalo R. Arce et al.
IEEE SIGNAL PROCESSING MAGAZINE (2014)
Spectral Image Classification From Optimal Coded-Aperture Compressive Measurements
Ana Ramirez et al.
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING (2014)
A Review of Imaging Techniques for Plant Phenotyping
Lei Li et al.
SENSORS (2014)
Thermography versus chlorophyll fluorescence imaging for detection and quantification of apple scab
Etienne Belin et al.
COMPUTERS AND ELECTRONICS IN AGRICULTURE (2013)
Reconstruction of hyperspectral cutaneous data from an artificial neural network-based multispectral imaging system
Romuald Jolivot et al.
COMPUTERIZED MEDICAL IMAGING AND GRAPHICS (2011)
Venturia inaequalis: the causal agent of apple scab
Joanna K. Bowen et al.
MOLECULAR PLANT PATHOLOGY (2011)
Thermographic assessment of scab disease on apple leaves
E. -C. Oerke et al.
PRECISION AGRICULTURE (2011)
Hyperspectral indices to diagnose leaf biotic stress of apple plants, considering leaf phenology
S. Delalieux et al.
INTERNATIONAL JOURNAL OF REMOTE SENSING (2009)
Analysis of computed tomographic imaging spectrometers. I. Spatial and spectral resolution
Nathan Hagen et al.
APPLIED OPTICS (2008)
Snapshot hyperspectral imaging in ophthalmology
William R. Johnson et al.
JOURNAL OF BIOMEDICAL OPTICS (2007)
Spatial-spectral modulating snapshot hyperspectral imager
WR Johnson et al.
APPLIED OPTICS (2006)
Large-image-format computed tomography imaging spectrometer for fluorescence microscopy
BK Ford et al.
OPTICS EXPRESS (2001)
Computed tomography-based spectral imaging for fluorescence microscopy
BK Ford et al.
BIOPHYSICAL JOURNAL (2001)
分享论文
