Environmental monitoring and assessment

Oecologia

[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.