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COMPARATIVE STUDY ON DEEP NEURAL NETWORK MODELS FOR CROP CLASSIFICATION USING TIME SERIES POLSAR AND OPTICAL DATA
Deep neural networks CNNs LSTMs ConvLSTMs Crop classification
2019/2/28
Crop classification is an important task in many crop monitoring applications. Satellite remote sensing has provided easy, reliable, and fast approaches to crop classification task. In this study, a c...
SEMANTIC SEGMENTATION OF CONVOLUTIONAL NEURAL NETWORK FOR SUPERVISED CLASSIFICATION OF MULTISPECTRAL REMOTE SENSING
Semantic Segmentation Multi Spectral Remote Sensing Convolutional Neural Network U-net multi-scale image
2018/5/16
Semantic segmentation is a fundamental research in remote sensing image processing. Because of the complex maritime environment, the classification of roads, vegetation, buildings and water from remot...
A Neural Network based Background Supression Technique applied to VHE Gamma Ray Data coming from the Crab Pulsar
Imaging Atmospheric Cherenkov Technique Flux Upper Limit
2014/12/12
In this thesis we present new results for the 99.9% confidence level flux upper limits on the pulsed VHE gamma ray signal coming from the Crab pulsar. In order to achieve optimum hadronic background s...
Multiscale approach for bone remodeling simulation based on finite element and neural network computation
Multiscale Hierarchical Bone remodeling Finite element Neural network
2011/8/5
Abstract: The aim of this paper is to develop a multiscale hierarchical hybrid model based on finite element analysis and neural network computation to link mesoscopic scale (trabecular network level)...
Dynamics of Transiently Chaotic Neural Network and
Its Application to Optimization
neural network
transient chaotic dynamics chaotic annealing
2007/8/15
2001Vol.35No.1pp.22-27DOI:
Dynamics of Transiently Chaotic Neural Network and
Its Application to Optimization
YANG Li-Jiang, CHEN Tian-Lun and HUANG Wu-Qun
Department of...
Application of Local Activity Theory of Cellular Neural Network
with Two Ports to the Coupled Lorenz-Cell Model
cellular neural network local activity
coupled Lorenz-cell chaos numerical simulation
2007/8/15
2002Vol.37No.6pp.759-767DOI:
Application of Local Activity Theory of Cellular Neural Network
with Two Ports to the Coupled Lorenz-Cell Model
MIN Le-Quan and YU Na
Depart...
Control of Halo-Chaos in Beam Transport Network
via Neural Network Adaptation with Time-Delayed
Feedback
beam transport network periodic focusing channels
high-current proton beam halo-chaos neural network adaptation control
time-delayed feedback
2007/8/15
2006Vol.45No.1pp.117-120DOI:
Control of Halo-Chaos in Beam Transport Network
via Neural Network Adaptation with Time-Delayed
Feedback
FANG Jin-Qing,1 LUO Xiao-Shu,2 and HUANG Guo-...
A New Chaotic Parameters Disturbance Annealing Neural Network
for Solving Global Optimization Problems
Hopfield neural network global optimization chaotic
parameters disturbance simulated annealing
2007/8/15
2003Vol.39No.4pp.385-392DOI:
A New Chaotic Parameters Disturbance Annealing Neural Network
for Solving Global Optimization Problems
MA Wei and WANG Zheng-Ou
Institute of...