Proceedings ArticleDOI
2D-3D CNN Based Architectures for Spectral Reconstruction from RGB Images
Sriharsha Koundinya,Himanshu Sharma,Manoj Sharma,Avinash Upadhyay,Raunak Manekar,Rudrabha Mukhopadhyay,Abhijit Karmakar,Santanu Chaudhury +7 more
- pp 844-851
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TLDR
This work proposes a 2D convolution neural network and a 3D convolved neural network based approaches for hyperspectral image reconstruction from RGB images that achieves very good performance in terms of MRAE and RMSE.Abstract:
Hyperspectral cameras are used to preserve fine spectral details of scenes that are not captured by traditional RGB cameras that comprehensively quantizes radiance in RGB images. Spectral details provide additional information that improves the performance of numerous image based analytic applications, but due to high hyperspectral hardware cost and associated physical constraints, hyperspectral images are not easily available for further processing. Motivated by the performance of deep learning for various computer vision applications, we propose a 2D convolution neural network and a 3D convolution neural network based approaches for hyperspectral image reconstruction from RGB images. A 2D-CNN model primarily focuses on extracting spectral data by considering only spatial correlation of the channels in the image, while in 3D-CNN model the inter-channel co-relation is also exploited to refine the extraction of spectral data. Our 3D-CNN based architecture achieves very good performance in terms of MRAE and RMSE. In contrast to 3D-CNN, our 2D-CNN based architecture also achieves comparable performance with very less computational complexity.read more
Citations
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Proceedings ArticleDOI
Sag Rooting Out in Grid Connected Windfarm by Deploying Deep Learning
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Book ChapterDOI
A Variational Training Perspective to GANs for Hyperspectral Image Generation
TL;DR: In this paper, the idea of neural oscillations was employed to train GANs for hyperspectral image generation from RGB images, and various experiments were conducted on different generative and discriminative models, utilizing different training techniques.
Journal ArticleDOI
Reconstruction of spectral reflectance based on mixed weighting and local optimization
Journal ArticleDOI
mHealth hyperspectral learning for instantaneous spatiospectral imaging of hemodynamics
TL;DR: In this paper , a small sampling of hyperspectral data enables spectrally informed learning to recover a hypercube from a red-green-blue (RGB) image without complete hypersensor measurements.
Journal ArticleDOI
Maize disease detection based on spectral recovery from RGB images
TL;DR: In this article , the authors proposed a maize spectral recovery disease detection framework which includes two parts: the maize spectrum recovery network based on the advanced hyperspectral recovery convolutional neural network (HSCNN+) and the maize disease detection network (CNN).
References
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Classification of hyperspectral remote sensing images with support vector machines
Farid Melgani,Lorenzo Bruzzone +1 more
TL;DR: This paper addresses the problem of the classification of hyperspectral remote sensing images by support vector machines by understanding and assessing the potentialities of SVM classifiers in hyperdimensional feature spaces and concludes that SVMs are a valid and effective alternative to conventional pattern recognition approaches.
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Imaging Spectrometry for Earth Remote Sensing
TL;DR: The initial results show that remote, direct identification of surface materials on a picture-element basis can be accomplished by proper sampling of absorption features in the reflectance spectrum.
Journal ArticleDOI
Imaging Spectroscopy and the Airborne Visible/Infrared Imaging Spectrometer (AVIRIS)
Robert O. Green,Michael L. Eastwood,Charles M. Sarture,Thomas G. Chrien,Mikael Aronsson,Bruce J Chippendale,Jessica Faust,Betina Pavri,Christopher J Chovit,Manuel Solis,Martin R Olah,Orlesa Williams +11 more
TL;DR: The Airborne Visible/Infrared Imaging Spectrometer (AVIRIS) was the first imaging sensor to measure the solar reflected spectrum from 400 nm to 2500 nm at 10 nm intervals as mentioned in this paper.
Journal ArticleDOI
Medical hyperspectral imaging: a review
Guolan Lu,Baowei Fei +1 more
TL;DR: An overview of the literature on medical hyperspectral imaging technology and its applications is presented, an introduction for those new to the field, an overview for those working in the field and a reference for those searching for literature on a specific application are presented.
Journal ArticleDOI
Generalized Assorted Pixel Camera: Postcapture Control of Resolution, Dynamic Range, and Spectrum
TL;DR: A comprehensive optimization method to arrive at the spatial and spectral layout of the color filter array of a GAP camera is presented and a novel algorithm for reconstructing the under-sampled channels of the image while minimizing aliasing artifacts is developed.