Zobrazeno 1 - 10
of 133
pro vyhledávání: '"Elcio Hideiti Shiguemori"'
Autor:
Gracieth Cavalcanti Batista, Johnny Öberg, Osamu Saotome, Haroldo F. de Campos Velho, Elcio Hideiti Shiguemori, Ingemar Söderquist
Publikováno v:
Journal of Electronic Science and Technology, Vol 22, Iss 2, Pp 100248- (2024)
Unmanned aerial vehicles (UAVs) have been widely used in military, medical, wireless communications, aerial surveillance, etc. One key topic involving UAVs is pose estimation in autonomous navigation. A standard procedure for this process is to combi
Externí odkaz:
https://doaj.org/article/3fe9460722e34c279a3e2112081716ad
Publikováno v:
Remote Sensing, Vol 14, Iss 21, p 5374 (2022)
A hyperspectral image provides fine details about the scene under analysis, due to its multiple bands. However, the resulting high dimensionality in the feature space may render a classification task unreliable, mainly due to overfitting and the Hugh
Externí odkaz:
https://doaj.org/article/fca8483203044b6abf40326f1dba94f5
Publikováno v:
Remote Sensing, Vol 14, Iss 2, p 361 (2022)
In this paper we post-process and evaluate the position estimation of pairs of template windows and geo-referenced images generated from LiDAR cloud point data using the Normalized Cross-Correlation (NCC) method. We created intensity, surface and ter
Externí odkaz:
https://doaj.org/article/2334f80b22104380b2c3f7ac819f4bb3
Autor:
Tahisa Neitzel Kuck, Paulo Fernando Ferreira Silva Filho, Edson Eyji Sano, Polyanna da Conceição Bispo, Elcio Hideiti Shiguemori, Ricardo Dalagnol
Publikováno v:
Remote Sensing, Vol 13, Iss 23, p 4944 (2021)
It is estimated that, in the Brazilian Amazon, forest degradation contributes three times more than deforestation for the loss of gross above-ground biomass. Degradation, in particular those caused by selective logging, result in features whose detec
Externí odkaz:
https://doaj.org/article/a5d238c112784f82b2d3c15c16d259a7
Autor:
Tahisa Neitzel Kuck, Edson Eyji Sano, Polyanna da Conceição Bispo, Elcio Hideiti Shiguemori, Paulo Fernando Ferreira Silva Filho, Eraldo Aparecido Trondoli Matricardi
Publikováno v:
Remote Sensing, Vol 13, Iss 17, p 3341 (2021)
The near-real-time detection of selective logging in tropical forests is essential to support actions for reducing CO2 emissions and for monitoring timber extraction from forest concessions in tropical regions. Current operating systems rely on optic
Externí odkaz:
https://doaj.org/article/ccd86968fb4a4284ba038e2e17237290
Autor:
Ângelo de Carvalho Paulino, Lamartine Nogueira Frutuoso Guimarães, Dr., Elcio Hideiti Shiguemori, Dr.
Publikováno v:
Inteligencia Artificial, Vol 22, Iss 63 (2019)
Nowadays, there is a remarkable world trend in employing UAVs and drones for diverse applications. The main reasons are that they may cost fractions of manned aircraft and avoid the exposure of human lives to risks. Nevertheless, they depend on posit
Externí odkaz:
https://doaj.org/article/00fc0537af224527837ad5b5f44e4344
Publikováno v:
Revue Française de Photogrammétrie et de Télédétection, Iss 217-218 (2018)
Hyperspectral images provide rich spectral details of the observed scene by exploiting contiguous bands. But, the processing of such images becomes heavy, due to the high dimensionality. Thus, band selection is a practice that has been adopted before
Externí odkaz:
https://doaj.org/article/b31efe8f93e54ae4b516303eb73a2489
Publikováno v:
Anais do XIX Encontro Nacional de Inteligência Artificial e Computacional (ENIAC 2022).
Finding the best configuration of a neural network to solve a problem has been challenging given the numerous possibilities of values of the hyper-parameters. Thus, tuning of hyper-parameters is one important approach and researchers suggest doing th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6b18e6e3fa8ac40f41f668d37def51e7
https://doi.org/10.5753/eniac.2022.227276
https://doi.org/10.5753/eniac.2022.227276
Publikováno v:
Journal of Sensors, Vol 2021 (2021)
A critical task of structural health monitoring is damage detection and localization. Lamb wave propagation methods have been successfully applied for damage identification in plate-like structures. However, Lamb wave processing is still a challengin
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6c9ebec8f63c04990ad34c567bf4d946
https://doi.org/10.1155/2021/9998187
https://doi.org/10.1155/2021/9998187
Publikováno v:
Intelligent Systems ISBN: 9783031216886
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::25ca7602314a2b343f44731b1189f75c
https://doi.org/10.1007/978-3-031-21689-3_37
https://doi.org/10.1007/978-3-031-21689-3_37
