Zobrazeno 1 - 10
of 51
pro vyhledávání: '"Deni Torres-Roman"'
Publikováno v:
Sensors, Vol 24, Iss 23, p 7463 (2024)
Since multi-view learning leverages complementary information from multiple feature sets to improve model performance, a tensor-based data fusion layer for neural networks, called Multi-View Data Tensor Fusion (MV-DTF), is used. It fuses M feature sp
Externí odkaz:
https://doaj.org/article/cb6815bf52f74fed9dee7465b6ca3e35
Publikováno v:
Remote Sensing, Vol 15, Iss 5, p 1399 (2023)
The present work, unlike others, does not try to reduce the noise in hyperspectral images to increase the semantic segmentation performance metrics; rather, we present a classification framework for noisy Hyperspectral Images (HSI), studying the clas
Externí odkaz:
https://doaj.org/article/b9f461710bb847eb841b010b856051d2
Publikováno v:
Entropy, Vol 17, Iss 9, Pp 6239-6257 (2015)
Network anomaly detection and classification is an important open issue in network security. Several approaches and systems based on different mathematical tools have been studied and developed, among them, the Anomaly-Network Intrusion Detection Sys
Externí odkaz:
https://doaj.org/article/ad1fae4aa1464f6c8982e60351191cbd
Publikováno v:
Entropy, Vol 20, Iss 10, p 725 (2018)
Lane detection for traffic surveillance in intelligent transportation systems is a challenge for vision-based systems. In this paper, a novel pixel-entropy based algorithm for the automatic detection of the number of lanes and their centers, as well
Externí odkaz:
https://doaj.org/article/6f867ac7b4974eeeb654e7f3a7a401cc
Autor:
Deni Torres-Roman, Juan Israel Yañez-Vargas, Andrea González-Ramírez, Sandra Paola Hernández-López
Publikováno v:
ECORFAN Journal-Democratic Republic of Congo. :19-28
The increase in the increase in wildfires throughout the world is largely due to increases in temperature and even to an increase in the carelessness of the population in leaving a large amount of the garbage in forests. Using Python and Matlab progr
Publikováno v:
ECORFAN Journal Bolivia. :10-16
Given the improvement of Remote Sensing (RS) sensors, it has been possible to increase spatial and spectral resolution on many of them. Nevertheless, the amount of data to represent and post-process has become highly prohibitive. Therefore, the need
Autor:
Deni Torres-Roman, Jayro Santiago-Paz, Ramon Parra-Michel, Israel Yañez-Vargas, Andrea Gonzalez-Ramirez
Publikováno v:
Journal of Technology and Innovation. :8-14
Floodings in Mexico generated economic and human losses in recent years, so it is necessary to use all possible tools that can help the government to reduce all these disasters, especially human losses. Therefore, a Graphical User Interface (GUI) was
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 12:2989-3003
In this paper, a new framework for iterative speckle noise reduction in polarimetric synthetic aperture radar (SAR) data is introduced. Speckle is inherent to all coherent imaging systems and affects SAR imagery in the form of strong intensity variat
Autor:
Gustavo Daniel Martin-del-Campo-Becerra, Deni Torres-Roman, Marc Jäger, Andreas Reigber, Joel Amao-Oliva
Publikováno v:
IGARSS
Speckle is inherent to all coherent imaging systems and affects SAR imagery in the form of strong intensity variations in pixels with similar backscattering coefficient, difficulting the interpretation of SAR data. In the context of the Beltrami filt
Prototyping Platform for the Development of Proof-of-Concept of Digital Signal Processing Algorithms
Publikováno v:
LATINCOM
Currently, in the field of new technologies, the trend is to use tools that minimize non-recurring engineering (NRE)costs and time-to-market. This is based on the fact that the high competitiveness between technological companies requires high dynami