Results 31 to 40 of about 43,009 (276)

Encoding Spectral-Spatial Features for Hyperspectral Image Classification in the Satellite Internet of Things System

Remote Sensing, 2021
Hyperspectral image classification is essential for satellite Internet of Things (IoT) to build a large scale land-cover surveillance system. After acquiring real-time land-cover information, the edge of the network transmits all the hyperspectral images
Ning Lv, Zhen Han, Chen Chen, Yijia Feng, Tao Su, Sotirios Goudos, Shaohua Wan   +6 more
doaj   +1 more source

Analyticity and uniform stability in the inverse spectral problem for Dirac operators [PDF]

, 2011
We prove that the inverse spectral mapping reconstructing the square integrable potentials on [0,1] of Dirac operators in the AKNS form from their spectral data (two spectra or one spectrum and the corresponding norming constants) is analytic and ...
Albeverio S., Denisov S. A., Gasymov M. G., Gasymov M. G., Gasymov M. G., Gasymov M. G., Gelfand I. M., Gohberg I., Gohberg I., Gohberg I., Gohberg I., Hryniv R. O., Levitan B. M., Malamud M. M., Malamud M. M., Marchenko V. A., Pöschel J., Pöschel J., Rostyslav O. Hryniv, Ryabushko T. I., Young R., Zakharov V. E., Zakharov V. E.   +22 more
core   +1 more source

Spectral material mapping using hyperspectral imagery: a review of spectral matching and library search methods

Geocarto International, 2013
Imaging spectroscopy is an emerging and versatile technique that finds applications in diverse fields concerned with remote identification, discrimination and mapping of materials. The large amount of spectral data produced by hyperspectral imaging necessitates the development of automated techniques that convert imagery directly into thematic maps ...
Sennaraj Vishnu, Rama Rao Nidamanuri, R. Bremananth   +2 more
openaire   +1 more source

An Adaptive Mapping Method Using Spectral Envelope Approach for DNA Spectral Analysis

Entropy, 2022
The digital signal processing approaches were investigated as a preliminary indicator for discriminating between the protein coding and non-coding regions of DNA.
Milena Arruda, Andresso da Silva, Francisco de Assis   +2 more
doaj   +1 more source

Metal-poor dwarf galaxies in the SIGRID galaxy sample. I. HII region observations and chemical abundances [PDF]

, 2014
In this paper we present the results of observations of seventeen HII regions in thirteen galaxies from the SIGRID sample of isolated gas rich irregular dwarf galaxies.
Basurah, Hassan, Dopita, Michael A., Jerjen, Helmut, Kewley, Lisa J., Nicholls, David C., Sutherland, Ralph S.   +5 more
core   +2 more sources

Hyper-Spectral Image Analysis with Partially-Latent Regression and Spatial Markov Dependencies [PDF]

, 2015
Hyper-spectral data can be analyzed to recover physical properties at large planetary scales. This involves resolving inverse problems which can be addressed within machine learning, with the advantage that, once a relationship between physical ...
Ba, Sileye, Deleforge, Antoine, Forbes, Florence, Horaud, Radu   +3 more
core   +5 more sources

Mapping of Soil Dynamic Response of Palu City Based on Horizontal to Vertical Spectral Ratio (HVSR) Method

IOP Conference Series: Earth and Environmental Science, 2023
Abstract Palu is one of the earthquake prone coastal cities in Indonesia. The 28 September 2018 earthquake (Mw 7.5) destroyed buildings in Palu due to ground shaking amplification, liquefaction, and tsunami. This phenomenon implies the importance of soil dynamic properties knowledge as a basis for proper building design to reduce such an
R.S. Salsabila, T. Yudistira, A Tohari
openaire   +1 more source

A priori error indicator in the transformation method for problems with geometric uncertainties [PDF]

, 2013
Version éditeur de cette publication à l'adresse suivante : http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6514655To solve stochastic problems with geometric uncertainties, one can transform the original problem in a domain with stochastic ...
CLENET, Stéphane, MAC, Duy Hung, MIPO, Jean-Claude, TSUKERMAN, Igor   +3 more
core   +7 more sources

New Spectral Index and Machine Learning Models for Detecting Coffee Leaf Miner Infestation Using Sentinel-2 Multispectral Imagery

Agriculture, 2023
The coffee leaf miner (Leucoptera coffeella) is a key coffee pest in Brazil that can cause severe defoliation and a negative impact on the productivity.
Emerson Ferreira Vilela, Williams Pinto Marques Ferreira, Gabriel Dumbá Monteiro de Castro, Ana Luísa Ribeiro de Faria, Daniel Henrique Leite, Igor Arantes Lima, Christiano de Sousa Machado de Matos, Rogério Antonio Silva, Madelaine Venzon   +8 more
doaj   +1 more source

Improved Relativistic Cycle-Consistent GAN With Dilated Residual Network and Multi-Attention for Speech Enhancement

IEEE Access, 2020
Generative adversarial networks (GANs) have been increasingly used as feature mapping functions in speech enhancement, in which the noisy speech features are transformed to the clean ones through the generators.
Yutian Wang, Guochen Yu, Jingling Wang, Hui Wang, Qin Zhang   +4 more
doaj   +1 more source