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Estimation of Leaf Nitrogen Content in Wheat Based on Fusion of Spectral Features and Deep Features from Near Infrared Hyperspectral Imagery [PDF]
Sensors, 2021 Nitrogen is an important indicator for monitoring wheat growth. The rapid development and wide application of non-destructive detection provide many approaches for estimating leaf nitrogen content (LNC) in wheat.
Baohua Yang +4 more
doaj +4 more sources
The Statistics of the BATSE Spectral Features [PDF]
Fourth Huntsville gamma-ray burst symposium, 1997 The absence of a BATSE line detection in a gamma-ray burst spectrum during the mission's first six years has led to a statistical analysis of the occurrence of lines in the BATSE burst database; this statistical analysis will still be relevant if lines ...
Band, D. +5 more
core +3 more sources
Spectral Features of the Proximity Effect
Physica B: Condensed Matter, 1999 We calculate the local density of states (LDOS) of a superconductor-normal metal sandwich at arbitrary impurity concentration. The presence of the superconductor induces a gap in the normal metal spectrum that is proportional to the inverse of the ...
Altland +9 more
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Vibroarthrographic Signal Spectral Features in 5-Class Knee Joint Classification [PDF]
Sensors, 2020 Vibroarthrography (VAG) is a non-invasive and potentially widely available method supporting the joint diagnosis process. This research was conducted using VAG signals classified to five different condition classes: three stages of chondromalacia ...
Adam Łysiak +3 more
doaj +2 more sources
Low-Energy Spectral Features in GRBs [PDF]
AIP Conference Proceedings, 1996 I discuss low-energy lines in gamma-ray bursts. The process of deconvolving gamma-ray spectral data and the steps needed to demonstrate the existence of a line are explained.
Briggs, Michael S.
core +4 more sources
A Spectral View of Adversarially Robust Features
CoRR, 2018 Given the apparent difficulty of learning models that are robust to adversarial perturbations, we propose tackling the simpler problem of developing adversarially robust features.
Garg, Shivam +3 more
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Classification of Diabetic Retinopathy Disease Levels by Extracting Spectral Features Using Wavelet CNN [PDF]
DiagnosticsDiabetic retinopathy (DR) arises from blood vessel damage and is a leading cause of blindness on a global scale. Clinical professionals rely on examining fundus images to diagnose the disease, but this process is frequently prone to errors and is tedious.
Sumod Sundar +2 more
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Class-level spectral features for emotion recognition
Speech Communication, 2010 The most common approaches to automatic emotion recognition rely on utterance level prosodic features. Recent studies have shown that utterance level statistics of segmental spectral features also contain rich information about expressivity and emotion.
Ani Nenkova
exaly +4 more sources
Frontiers in Plant Science, 2023 Spider mite infestations are a serious hazard for jujube trees in China. The use of remote sensing technology to evaluate the health of jujube trees in large-scale intensive agricultural production is an effective means of agricultural control ...
Yue Wu +6 more
doaj +1 more source
Microwave Emissivity of Typical Vegetated Land Types Based on AMSR2
Remote Sensing, 2022 To investigate the microwave radiation characteristics of different vegetation types, the “pure pixels” of 12 typical vegetated land types were selected and corresponding emissivity was retrieved under clear sky based on L1C AMSR2 observed brightness ...
Xueying Wang, Zhenzhan Wang
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