Advances in Hyperspectral Data Exploitation

Advances in Hyperspectral Data Exploitation

Using hyperspectral imaging (HSI) to exploit data has been found in a wide variety of applications. This reprint book only presents a small glimpse of it. Many other important applications using HSI which have emerged in data exploitation are not covered in this reprint book. For example, such appli...

Full description

Bibliographic Details
Format:	eBook
Language:	English
Published:	Basel MDPI - Multidisciplinary Digital Publishing Institute 2022
Subjects:	History of engineering & technology Technology: general issues air temperature anomaly detection atmospheric transmittance attention mechanism band selection band selection (BS) boundary-aware constraint carbon dioxide absorption change detection channel augmented attention classification coffee beans color formation models constrained energy minimization (CEM) constrained sparse representation constrained-target optimal index factor band selection (CTOIFBS) constraint representation convolutional neural network data augmentation data fusion deep convolutional neural networks deep learning denoising emissivity evolutionary computation FTIR fused features generative adversarial network heuristic algorithms hyperspectral hyperspectral image hyperspectral image classification hyperspectral image few-shot classification hyperspectral image super-resolution hyperspectral imagery hyperspectral imagery classification hyperspectral images hyperspectral imaging hyperspectral imaging (HSI) hyperspectral imaging data hyperspectral reconstruction hyperspectral remote sensing hyperspectral target detection hyperspectral unmixing image classification image fusion insect damage joint tensor decomposition least square estimation lightweight convolutional neural networks machine learning meta-learning midwave infrared mine environment moving target detection multi-source image fusion multiscale decision fusion multispectral image MWIR nonlinear unmixing plug-and-play relation network residual augmented attentional u-shape network rice rice leaf blast rice leaf folder self-supervised learning self-supervised training separation SFIM spatial augmented attention spatial filter spatial measurement spatio-temporal processing spectral reconstruction spectral-spatial residual network superpixel segmentation target detection temperature transfer learning underwater hyperspectral target detection underwater spectral imaging system unmanned aerial vehicles (UAVs) upland swamps vegetation vegetation mapping visualization
Online Access:	Open Access: DOAB: description of the publication Open Access: DOAB, download the publication

Similar Items

Editorial for Special Issue “Hyperspectral Imaging and Applications”
by: Chein-I Chang, et al.
Published: (2019-08-01)

Detecting Signatures in Hyperspectral Image Data of Wounds: A Compound Model of Self- Organizing Map and Least Square Fitting
by: Mohammed Redwan Abdo A., et al.
Published: (2018-09-01)

Underwater Hyperspectral Target Detection with Band Selection
by: Xianping Fu, et al.
Published: (2020-03-01)

Interference-Suppressed and Cluster-Optimized Hyperspectral Target Extraction Based on Density Peak Clustering
by: Xiaodi Shang, et al.
Published: (2021-01-01)

Spectral-Spatial Classification of Hyperspectral Images: Three Tricks and a New Learning Setting
by: Jacopo Acquarelli, et al.
Published: (2018-07-01)

A Lightweight Spectral–Spatial Feature Extraction and Fusion Network for Hyperspectral Image Classification
by: Linlin Chen, et al.
Published: (2020-04-01)

Unmixing of Hyperspectral Data Using Spectral Libraries
by: Sefa Küçük, et al.
Published: (2020-04-01)

Center Attention Network for Hyperspectral Image Classification
by: Zhengang Zhao, et al.
Published: (2021-01-01)

A Novel Hyperspectral Image Simulation Method Based on Nonnegative Matrix Factorization
by: Zehua Huang, et al.
Published: (2019-10-01)

Exploration of Planetary Hyperspectral Images with Unsupervised Spectral Unmixing: A Case Study of Planet Mars
by: Jun Liu, et al.
Published: (2018-05-01)

Spatial-spectral hyperspectral image classification based on information measurement and CNN
by: Lianlei Lin, et al.
Published: (2020-03-01)

Hyperspectral Target Detection via Adaptive Information—Theoretic Metric Learning with Local Constraints
by: Yanni Dong, et al.
Published: (2018-09-01)

HTD-Net: A Deep Convolutional Neural Network for Target Detection in Hyperspectral Imagery
by: Gaigai Zhang, et al.
Published: (2020-05-01)

Contributions to Hyperspectral Unmixing
by: Nakhostin, Sina
Published: (2017)

Nondestructive Detection for Egg Freshness Based on Hyperspectral Scattering Image Combined with Ensemble Learning
by: Dejian Dai, et al.
Published: (2020-09-01)

Weighted Generalized Nearest Neighbor for Hyperspectral Image Classification
by: Chunjuan Bo, et al.
Published: (2017-01-01)

Dual Graph U-Nets for Hyperspectral Image Classification
by: Fangming Guo, et al.
Published: (2021-01-01)

Fusion-based spectral matching method for hyperspectral target detection
by: Wang Wenzheng, et al.
Published: (2019-09-01)

Proof of Principle for Direct Reconstruction of Qualitative Depth Information from Turbid Media by a Single Hyper Spectral Image
by: Martin Hohmann, et al.
Published: (2021-04-01)

3-D Channel and Spatial Attention Based Multiscale Spatial–Spectral Residual Network for Hyperspectral Image Classification
by: Zhenyu Lu, et al.
Published: (2020-01-01)

Double-Branch Multi-Attention Mechanism Network for Hyperspectral Image Classification
by: Wenping Ma, et al.
Published: (2019-06-01)

Hyperspectral Image Classification Using a Hybrid 3D-2D Convolutional Neural Networks
by: Saeed Ghaderizadeh, et al.
Published: (2021-01-01)

Morphological and spectral analysis of histological tissue with the use of deep convolutional networks
by: S. V. Trukhan, et al.
Published: (2019-06-01)

Three-Dimensional ResNeXt Network Using Feature Fusion and Label Smoothing for Hyperspectral Image Classification
by: Peida Wu, et al.
Published: (2020-03-01)

Triple-Attention-Based Parallel Network for Hyperspectral Image Classification
by: Lei Qu, et al.
Published: (2021-01-01)

Hyperspectral Band Selections for Enhancing the Discrimination of Difficult Targets Using Local Band Index and Particle Swarm Optimization
by: Lu, Q., et al.
Published: (2022)

A 3D Cascaded Spectral–Spatial Element Attention Network for Hyperspectral Image Classification
by: Huaiping Yan, et al.
Published: (2021-06-01)

A Hyperspectral Image Classification Framework with Spatial Pixel Pair Features
by: Lingyan Ran, et al.
Published: (2017-10-01)

Visualizing Near Infrared Hyperspectral Images with Generative Adversarial Networks
by: Rongxin Tang, et al.
Published: (2020-11-01)

Spatial–Spectral Squeeze-and-Excitation Residual Network for Hyperspectral Image Classification
by: Li Wang, et al.
Published: (2019-04-01)

Residual Group Channel and Space Attention Network for Hyperspectral Image Classification
by: Peida Wu, et al.
Published: (2020-06-01)

Hyperspectral Mixed Noise Removal via Spatial-Spectral Constrained Unsupervised Deep Image Prior
by: Yi-Si Luo, et al.
Published: (2021-01-01)

Hyperspectral Image Classification Based on Active Learning and Spectral-Spatial Feature Fusion Using Spatial Coordinates
by: Caihong Mu, et al.
Published: (2020-01-01)

Multi-Scale CNN Based Garbage Detection of Airborne Hyperspectral Data
by: Dan Zeng, et al.
Published: (2019-01-01)

Two Linear Unmixing Algorithms to Recognize Targets Using Supervised Classification and Orthogonal Rotation in Airborne Hyperspectral Images
by: Michael Zheludev, et al.
Published: (2012-02-01)

Background Learning Based on Target Suppression Constraint for Hyperspectral Target Detection
by: Weiying Xie, et al.
Published: (2020-01-01)

Global Random Graph Convolution Network for Hyperspectral Image Classification
by: Chaozi Zhang, et al.
Published: (2021-06-01)

A Wide Spectral Range Reflectance and Luminescence Imaging System
by: Tapani Hirvonen, et al.
Published: (2013-10-01)

Deep Collaborative Attention Network for Hyperspectral Image Classification by Combining 2-D CNN and 3-D CNN
by: Hao Guo, et al.
Published: (2020-01-01)

Alternately Updated Spectral–Spatial Convolution Network for the Classification of Hyperspectral Images
by: Wenju Wang, et al.
Published: (2019-07-01)