搜索结果: 1-14 共查到“遥感信息工程 Neural Networks”相关记录14条 . 查询时间(0.093 秒)
KNOWLEDGE BASED 3D BUILDING MODEL RECOGNITION USING CONVOLUTIONAL NEURAL NETWORKS FROM LIDAR AND AERIAL IMAGERIES
Deep Learning Convolutional Neural Network Pattern Recognition LiDAR 3D Building Model
2016/7/28
In recent years, with the development of the high resolution data acquisition technologies, many different approaches and algorithms have been presented to extract the accurate and timely updated 3D m...
SINGLE-IMAGE SUPER RESOLUTION FOR MULTISPECTRAL REMOTE SENSING DATA USING CONVOLUTIONAL NEURAL NETWORKS
Single-Image Super Resolution Deep Learning Convolutional Neural Networks Sentinel-2
2016/7/28
In optical remote sensing, spatial resolution of images is crucial for numerous applications. Space-borne systems are most likely to be affected by a lack of spatial resolution, due to their natural d...
COMPARATIVE RESEARCHES ON PROBABILISTIC NEURAL NETWORKS AND MULTI-LAYER PERCEPTRON NETWORKS FOR REMOTE SENSING IMAGE SEGMENTATION
Remote sensing Segmentation Probabilistic Neural Networks (PNNs) Multi-Layer Perception Networks (MLPNs)
2016/3/17
Image segmentation is one of the most important methods for extracting information of interest from remote sensing image data, but it still remains some problems, leading to low quality segmentation. ...
USE OF NEURAL NETWORKS FOR LAND COVER CLASSIFICATION FROM REMOTELY SENSED IMAGERY
Land Cover Classification Neural Networks Topology Activation Function Neural Training Accuracy
2015/12/31
Remote sensing has been increasingly used to derive land cover information by manual interpretation or automated classification. As promising automated classifiers, artificial neural networks are diff...
Automated Building Extraction from High-Resolution Satellite Imagery Using Spectral and Structural Information Based on Artificial Neural Networks
building extraction artificial neural networks learning C# programming environment
2015/9/17
Automatic building extraction remains an open research area in digital photogrammetry. While many algorithms have been proposed for building extraction, none of them solve the problem completely. This...
REDUCTION OF GPS STANDARD RECEIVERS NOISE USING PARALLEL-STRUCTURE WAVELET BASED NEURAL NETWORKS
Reduction Noise GPS Parallel-Structure Wavelet Neural Networks
2015/8/10
Position information obtained from standard GPS receivers is known to be corrupted with noise. To make effective use of GPS information in a navigation system it is essential to model this noise and t...
A USER-FRIENDLY AUTOMATIC TOOL FOR IMAGE CLASSIFICATION BASED ON NEURAL NETWORKS
Neural networks automatic classification image processing
2015/8/3
In this paper the implementation and the functionality of software created on the basis of neural networks technology is explained.The program developed allows the user to read an image, to create and...
URBAN GROWTH SIMULATION USING REMOTE SENSING IMAGERY AND NEURAL NETWORKS
Urban growth Registration Fusion Classification Simulation Neural Network
2015/8/3
This paper presents a methodology for simulating urban growth phenomenon through utilizing remote sensing imagery and neural network (NN) algorithms. Historical satellite images of Indianapolis city, ...
OIL SPILL DETECTION USING RBF NEURAL NETWORKS AND SAR DATA
Neural Networks SAR Environment Pollution Sea Extraction Detection
2015/7/29
Illegal oil spill discharges cause serious damage to marine ecosystems. Synthetic Aperture Radar (SAR) images are extensively used
for the detection of oil spills in the marine environment, as they ...
AN INTEGRATION OF WAVELET ANALYSIS AND NEURAL NETWORKS IN SYNTHETIC APERTURE RADAR IMAGE CLASSIFICATION
Image Classification Wavelet Analysis Neural Networks Texture and Structural Characteristics SAR
2015/6/1
In this paper, the concepts of wavelet analysis and neural networks are applied to the classification of shuttle imaging radar experiment C (SIR-C) synthetic aperture radar (SAR) data from a location ...
ON-BOARD CHANGE DETECTION WITH NEURAL NETWORKS
Change Detection Neural Networks Classification Edge
2015/5/12
The aim of this paper is to describe a potential on-board change detection chain by earth observation satellites (optical and SAR).
The benefits of such an on-board chain are multiple : reduction of ...
URBAN SIMULATION USING NEURAL NETWORKS AND CELLULAR AUTOMATA FOR LAND USE PLANNING
URBAN SIMULATION NEURAL NETWORKS CELLULAR AUTOMATA LAND USE PLANNING
2015/3/16
URBAN SIMULATION USING NEURAL NETWORKS AND CELLULAR AUTOMATA FOR LAND USE PLANNING.
EARLY STAGE OBJECT RECOGNITION USING NEURAL NETWORKS
Object recognition Neural Networks Wavelets Support vector machines
2014/12/31
Object recognition has been the focus of much research in the photogrammetric and image processing communities. The goal of this research is often the quantitative three-dimensional measurement of obj...
EXTRACTION OF DAMAGED REGIONS USING SAR DATA AND NEURAL NETWORKS
Classification Coherence Decorrelation Earthquakes Interferometry LVQ Multi-temporal
2014/12/29
This paper presents classification results using neural networks based on INSAR coherence imagery data for evaluation of the damage of Kobe earthquake in 1995. Coherence derived from multi-temporal SA...