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hyperspectral
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Environmental monitoring and assessment
Oecologia
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Bibliographies
[1]
Evaluating sensitivity of hyperspectral indices for estimating mangrove chlorophyll in Middle Andaman Island, India.
[2]
Radiometric Assessment of a UAV-Based Push-Broom Hyperspectral Camera
[3]
the need for accurate geometric and radiometric corrections of drone-borne hyperspectral data for mineral exploration: mephysto—a toolbox for pre-processing drone-borne hyperspectral data
[4]
empirical modelling of vegetation abundance from airborne hyperspectral data for upland peatland restoration monitoring
[5]
limited effects of water absorption on reducing the accuracy of leaf nitrogen estimation
[6]
effect of reduced spatial resolution on mineral mapping using imaging spectrometry—examples using hyperspectral infrared imager (hyspiri)-simulated data
[7]
soil organic carbon estimation in croplands by hyperspectral remote apex data using the lucas topsoil database
[8]
remote sensing-based exploration of structurally-related mineralizations around mount isa, queensland, australia
[9]
Visible and near-infrared hyperspectral indices explain more variation in lower-crown leaf nitrogen concentrations in autumn than in summer.
[10]
A New Semisupervised-Entropy Framework of Hyperspectral Image Classification Based on Random Forest
[11]
Improving the Transferability of Suspended Solid Estimation in Wetland and Deltaic Waters with an Empirical Hyperspectral Approach
[12]
Estimation of the spatial distribution of heavy metal in agricultural soils using airborne hyperspectral imaging and random forest.
[13]
In-Vivo and Ex-Vivo Tissue Analysis through Hyperspectral Imaging Techniques: Revealing the Invisible Features of Cancer.
[14]
Quantification of cell concentration in biofuel-important microalgae using hyperspectral reflectance and hyperspectral extinction coefficient
[15]
Honey botanical origin classification using hyperspectral imaging and machine learning
[16]
Hyperspectral characterization of marine plastic litters
[17]
Identifying non-O157 Shiga toxin-producing Escherichia coli (STEC) using deep learning methods with hyperspectral microscope images
[18]
Estimation of Dynamic Canopy Variables Using Hyperspectral Derived Vegetation Indices Under Varying N Rates at Diverse Phenological Stages of Rice.
[19]
Hyperspectral Imaging (HSI) in anatomic left liver resection.
[20]
A Hyperspectral Image Classification Method Based on Multi-Discriminator Generative Adversarial Networks.
[21]
Generative Adversarial Networks-Based Semi-Supervised Learning for Hyperspectral Image Classification
[22]
MAPPING THE WETLAND VEGETATION COMMUNITIES OF THE AUSTRALIAN GREAT ARTESIAN BASIN SPRINGS USING SAM, MTMF AND SPECTRALLY SEGMENTED PCA HYPERSPECTRAL ANALYSES
[23]
Lipid oxidation degree of pork meat during frozen storage investigated by near-infrared hyperspectral imaging: Effect of ice crystal growth and distribution
[24]
Use of hyperspectral imaging as a tool for Fusarium and deoxynivalenol risk management in cereals: A review
[25]
Hyperspectral imaging for food-related microbiology applications
[26]
Injection Compression Molded Microlens Arrays for Hyperspectral Imaging.
[27]
Current situation on spaceborne hyperspectral imager of Tübitak Uzay: HSK
[28]
A short survey of hyperspectral remote sensing and hyperspectral remote sensing research at tübitak Uzay
[29]
Supervised Vicarious Calibration (SVC) of Multi-Source Hyperspectral Remote-Sensing Data
[30]
NIR hyperspectral imaging to evaluate degradation in captopril commercial tablets.
[31]
Characterizing and Estimating Fungal Disease Severity of Rice Brown Spot with Hyperspectral Reflectance Data
[32]
Comparison of support vector machine, artificial neural networks and spectral angle mapper classifiers on fused hyperspectral data for improved LULC classification
[33]
Gaussian Processes for Vegetation Parameter Estimation from Hyperspectral Data with Limited Ground Truth
[34]
Hyperspectral Image Denoising via Matrix Factorization and Deep Prior Regularization
[35]
Hyperspectral Images Denoising via Nonconvex Regularized Low-Rank and Sparse Matrix Decomposition
[36]
Qualitative and quantitative diagnosis of nitrogen nutrition of tea plants under field condition using hyperspectral imaging coupled with chemometrics.
[37]
Evaluating sensitivity of hyperspectral indices for estimating mangrove chlorophyll in Middle Andaman Island, India.
[38]
HSI-BERT: Hyperspectral Image Classification Using the Bidirectional Encoder Representation from Transformers
[39]
Development of the second generation Hyperspectral Airborne Terrestrial Imager (HATI): HATI - 2500
[40]
The Hyperspectral Airborne Tactical Instrument (HATI): A low-cost compact airborne hyperspectral imager
[41]
Phenology-based discrimination of maize (Zea mays L.) varieties using multitemporal hyperspectral data
[42]
Statistical Loss and Analysis for Deep Learning in Hyperspectral Image Classification.
[43]
Radiometric Assessment of a UAV-Based Push-Broom Hyperspectral Camera
[44]
Classification of Hyperspectral Images using Edge Preserving Filter and Nonlinear Support Vector Machine (SVM)
[45]
Advanced Machine Learning in Point Spectroscopy, RGB- and Hyperspectral-Imaging for Automatic Discriminations of Crops and Weeds: A Review
[46]
A Combined Quantitative Evaluation Model for the Capability of Hyperspectral Imagery for Mineral Mapping
[47]
Raman hyperspectral imaging and spectral similarity analysis for quantitative detection of multiple adulterants in wheat flour
[48]
evaluation of hyperspectral multitemporal information to improve tree species identification in the highly diverse atlantic forest
[49]
a randomized subspace learning based anomaly detector for hyperspectral imagery
[50]
hyperspectral features of oil-polluted sea ice and the response to the contamination area fraction
[51]
the need for accurate geometric and radiometric corrections of drone-borne hyperspectral data for mineral exploration: mephysto—a toolbox for pre-processing drone-borne hyperspectral data
[52]
hyperspectral distinction of two caribbean shallow-water corals based on their pigments and corresponding reflectance
[53]
hyperspectral and multispectral retrieval of suspended sediment in shallow coastal waters using semi-analytical and empirical methods
[54]
automatic fusion of hyperspectral images and laser scans using feature points
[55]
nonlocal total variation subpixel mapping for hyperspectral remote sensing imagery
[56]
lichy: the caf’s lidar, ccd and hyperspectral integrated airborne observation system
[57]
multiobjective optimized endmember extraction for hyperspectral image
[58]
estimating the biomass of maize with hyperspectral and lidar data
[59]
multi-probe based artificial dna encoding and matching classifier for hyperspectral remote sensing imagery
[60]
algorithm and code for analyzing hyperspectral images using the hurst exponent
[61]
mapping spartina alterniflora biomass using lidar and hyperspectral data
[62]
a novel tri-training technique for semi-supervised classification of hyperspectral images based on diversity measurement
[63]
exploration of planetary hyperspectral images with unsupervised spectral unmixing: a case study of planet mars
[64]
the potential of autonomous ship-borne hyperspectral radiometers for the validation of ocean color radiometry data
[65]
use of airborne hyperspectral imagery to map soil properties in tilled agricultural fields
[66]
noise removal based on tensor modelling for hyperspectral image classification
[67]
distributed compressed hyperspectral sensing imaging based on spectral unmixing
[68]
plant species discrimination in a tropical wetland using in situ hyperspectral data
[69]
a method to reconstruct the solar-induced canopy fluorescence spectrum from hyperspectral measurements
[70]
spectral-spatial target detection based on data field modeling for hyperspectral data
[71]
capability of spaceborne hyperspectral enmap mission for mapping fractional cover for soil erosion modeling
[72]
integration of hyperspectral shortwave and longwave infrared remote-sensing data for mineral mapping of makhtesh ramon in israel
[73]
in-field absolute calibration of ground and airborne vis-nir-swir hyperspectral point spectrometers
[74]
hybridization state detection of dna-functionalized gold nanoparticles using hyperspectral imaging
[75]
empirical modelling of vegetation abundance from airborne hyperspectral data for upland peatland restoration monitoring
[76]
hyperspectral probing of exciton dynamics and multiplication in pbse nanocrystals
[77]
hyperspectral anomaly detection based on low-rank representation and learned dictionary
[78]
sparse representation based binary hypothesis model for hyperspectral image classification
[79]
a simulated observation database to assess the impact of the iasi-ng hyperspectral infrared sounder
[80]
a spectral-texture kernel-based classification method for hyperspectral images
[81]
undersampled hyperspectral image reconstruction based on surfacelet transform
[82]
determination of carbonate rock chemistry using laboratory-based hyperspectral imagery
[83]
joint sparse and low-rank multitask learning with laplacian-like regularization for hyperspectral classification
[84]
stacked denoise autoencoder based feature extraction and classification for hyperspectral images
[85]
evaluating hyperspectral vegetation indices for leaf area index estimation of oryza sativa l. at diverse phenological stages
[86]
a new methodology for spectral-spatial classification of hyperspectral images
[87]
hyperspectral image land cover classification algorithm based on spatial-spectral coordination embedding
[88]
airborne hyperspectral data predict fine-scale plant species diversity in grazed dry grasslands
[89]
evaluation of the ability of spectral indices of hydrocarbons and seawater for identifying oil slicks utilizing hyperspectral images
[90]
effect of reduced spatial resolution on mineral mapping using imaging spectrometry—examples using hyperspectral infrared imager (hyspiri)-simulated data
[91]
noise modelling and estimation of hyperspectral data from airborne imaging spectrometers
[92]
comparison of airborne lidar and satellite hyperspectral remote sensing to estimate vascular plant richness in deciduous mediterranean forests of central chile
[93]
hyperspectral image denoising with composite regularization models
[94]
soil organic carbon estimation in croplands by hyperspectral remote apex data using the lucas topsoil database
[95]
low-rank and sparse matrix decomposition with cluster weighting for hyperspectral anomaly detectiond
[96]
the classification of submerged vegetation using hyperspectral mivis data
[97]
onboard spectral and spatial cloud detection for hyperspectral remote sensing images
[98]
Automatic Descriptor-Based Co-Registration of Frame Hyperspectral Data
[99]
Hyperspectral analsis of soil total nitrogen in subsided land using the local correlation maximization-complementary superiority method
[100]
Multicolour chemical imaging of plant tissues with hyperspectral stimulated Raman scattering microscopy.
[101]
Distinction of surgically resected gastrointestinal stromal tumor by near-infrared hyperspectral imaging.