Results 31 to 40 of about 26,514,231 (169)
Watch Your Up-Convolution: CNN Based Generative Deep Neural Networks Are Failing to Reproduce Spectral Distributions [PDF]
Computer Vision and Pattern Recognition, 2020 Generative convolutional deep neural networks, e.g. popular GAN architectures, are relying on convolution based up-sampling methods to produce non-scalar outputs like images or video sequences. In this paper, we show that common up-sampling methods, i.e.
Ricard Durall +2 more
semanticscholar +1 more source
Heliyon, 2022 To extract blue roofs (BRs) from remote sensing images quickly, first, this study used WorldView-2 and WorldView-3 as the data sources and created a new BR spectral area model (BRSAM) using the polygon area difference between the spectral curves of BRs ...
Huaipeng Liu, Xiaoqing Zuo
doaj +1 more source
A Statistical and Spectral Model for Representing Noisy Sounds with Short-Time Sinusoids
EURASIP Journal on Advances in Signal Processing, 2005 We propose an original model for noise analysis, transformation, and synthesis: the CNSS model. Noisy sounds are represented with short-time sinusoids whose frequencies and phases are random variables.
Myriam Desainte-Catherine +1 more
doaj +1 more source
Ecological Indicators, 2021 The accurate classification of wetland vegetation is essential for rapid assessment and management. The Honghe National Nature Reserve (HNNR), located in Northeast China, was studied.
Man Liu +7 more
doaj +1 more source
Non-destructive monitoring of amylose content in rice by UAV-based hyperspectral images
Frontiers in Plant Science, 2022 Amylose content (AC) is an important indicator for rice quality grading. The rapid development of unmanned aerial vehicle (UAV) technology provides rich spectral and spatial information on observed objects, making non-destructive monitoring of crop ...
Fumin Wang +8 more
doaj +1 more source
UNCERTAINTIES IN ATOMIC DATA AND THEIR PROPAGATION THROUGH SPECTRAL MODELS. I. [PDF]
, 2013 We present a method for computing uncertainties in spectral models, i.e., level populations, line emissivities, and emission line ratios, based upon the propagation of uncertainties originating from atomic data.
M. Bautista +6 more
semanticscholar +1 more source
Комплекс программ моделирования геодинамо на основе спектральных эредитарных моделей
Vestnik KRAUNC: Fiziko-Matematičeskie NaukiИсследование задачи геодинамо часто проводят на основе спектральных моделей, когда поля задачи полностью или частично раскладываются по собственным полям (модам) подходящих спектральных задач.
Водинчар, Г.М. +2 more
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Spectral-Spatial Mamba for Hyperspectral Image Classification [PDF]
Remote SensingRecently, transformer has gradually attracted interest for its excellence in modeling the long-range dependencies of spatial-spectral features in HSI.
Lin Huang, Yu-Shi Chen, Xin He
semanticscholar +1 more source
3DSS-Mamba: 3D-Spectral-Spatial Mamba for Hyperspectral Image Classification [PDF]
IEEE Transactions on Geoscience and Remote SensingHyperspectral image (HSI) classification constitutes the fundamental research in remote sensing fields. Convolutional neural networks (CNNs) and Transformers have demonstrated impressive capability in capturing spectral-spatial contextual dependencies ...
Yan He +4 more
semanticscholar +1 more source
Spectral Models for Low-luminosity Active Galactic Nuclei in LINERs: The Role of Advection-dominated Accretion and Jets [PDF]
, 2013 We perform an exploratory study of the physical properties of accretion ows and jets in low-luminosity active galactic nuclei (LLAGNs) by modeling the spectral energy distributions (SEDs) of 12 LLAGNs in low-ionization nuclear emission-line regions ...
R. Nemmen +2 more
semanticscholar +1 more source