搜索结果: 1-15 共查到“遥感信息工程 networks”相关记录29条 . 查询时间(0.051 秒)
EVALUATING THE INITIALIZATION METHODS OF WAVELET NETWORKS FOR HYPERSPECTRAL IMAGE CLASSIFICATION
Hyperspectral Classification Wavelet Neural Networks Wavelet Networks Initialization
2016/11/23
The idea of using artificial neural network has been proven useful for hyperspectral image classification. However, the high dimensionality of hyperspectral images usually leads to the failure of cons...
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...
EXTRACTING TIDAL STREAM NETWORKS FROM HIGH-RESOLUTION REMOTE SENSOR IMAGERY:A PRELIMINARY STUDY
Coastal Marshes Tidal Stream Networks High-Resolution Imagery Classification Distance Modeling NonDirectional Filtering Interactive Editing
2015/12/29
In this paper we report the results of a pilot project we conduct to develop a semi-automated approach for tidal stream network extraction from remote sensor data. Our test site is part of the North I...
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 FUSION STRATEGY FOR EXTRACTED ROAD NETWORKS FROM MULTI-ASPECT SAR IMAGES
SAR road extraction multi-aspect images fusion
2015/8/7
In this paper, we describe an extension of the automatic road extraction procedure developed for single SAR images towards multiaspect SAR images. Multi-aspect images illuminate the same scene, but fr...
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 ...
ANALYSIS OF REMOTELY SENSED DATA FOR PLANNING TRANSPORTATION NETWORKS
Remote sensing hyperspectral data rapid urbanization large scale land cover system
2015/5/13
Analysis of remotely-sensed and hyperspectral data has significant potential application in the areas of planning of,
and better decision support for, transportation networks. With increased demand ...
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 ...