搜索结果: 1-15 共查到“遥感信息工程 Neural”相关记录32条 . 查询时间(0.062 秒)
COSTAL BATHYMETRY ESTIMATION FROM MULTISPECTRAL IMAGE WITH BACK PROPAGATION NEURAL NETWORK
Bathymetry Multispectral Image Stereo Image Back Propagation Neural Network
2016/12/1
Bathymetric data in coastal area are important for marine sciences, hydrological applications and even for transportation and military purposes. Compare to traditional sonar and recent airborne bathym...
INTERVAL TYPE-2 FUZZY BASED NEURAL NETWORK FOR HIGH RESOLUTION REMOTE SENSING IMAGE SEGMENTATION
Interval Type-2 Fuzzy Model High Resolution Remote Sensing Image Footprint of Uncertainty Image Segmentation Neuron Networks
2016/11/23
Recently, high resolution remote sensing image segmentation is a hot issue in image procesing procedures. However, it is a difficult task. The difficulties derive from the uncertainties of pixel segme...
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...
IMAGE LABELING FOR LIDAR INTENSITY IMAGE USING K-NN OF FEATURE OBTAINED BY CONVOLUTIONAL NEURAL NETWORK
Image labeling Convolutional neural network K-nearest neighbour and LIDAR intensity image
2016/7/28
We propose an image labeling method for LIDAR intensity image obtained by Mobile Mapping System (MMS) using K-Nearest Neighbor (KNN) of feature obtained by Convolutional Neural Network (CNN). Image la...
CONVOLUTIONAL NEURAL NETWORK BASED DEM SUPER RESOLUTION
DEM Super Resolution Convolutional Neural Network Reconstruction
2016/7/27
DEM super resolution is proposed in our previous publication to improve the resolution for a DEM on basis of some learning examples. Meanwhile, the nonlocal algorithm is introduced to deal with it and...
3D FEATURE POINT EXTRACTION FROM LIDAR DATA USING A NEURAL NETWORK
3D feature points extraction Mobile Mapping System LiDAR Neural network
2016/7/5
Accurate positioning of vehicles plays an important role in autonomous driving. In our previous research on landmark-based positioning, poles were extracted both from reference data and online sensor ...
TEXTURE-BASED LIDAR GRAY IMAGE SEGMENTATION USING ARTIFICIAL NEURAL NETWORK
LiDAR Texture Artificial Neural Network (ANN) Classification Image segmentation
2016/3/17
Using artificial neural network， a synthetical image derived from light and ranging data was segmented based on the height texture and intensity texture measure. Focusing on a coastal area near ZhuHai...
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. ...
NEURAL NETWORK-BASED ANALYTICAL MODEL FOR BIOMASS ESTIMATION IN POYANG LAKE WETLAND USING ENVISAT ASAR DATA
biomass sar wetland monitoring
2016/1/3
Poyang Lake is the largest freshwater lake in China with an area of about 3,000 km2. Its wetland ecosystem has a significant impact on China' s environment change. Traditional way to monitor biomass c...
THE ROLE OF SPATIAL METRICS ON THE PERFORMANCE OF AN ARTIFICIAL NEURAL-NETWORK BASED MODEL FOR LAND USE CHANGE
Multispectral Remote Sensing Landscape Metrics Spatial Modelling Land use mapping Spatial Analysis Landsat Image Change Detection
2016/1/3
The present study examines the role of spatial metrics in the performance of a previously developed ANN model for predicting land use/cover changes. The model outputs are validated against a land-use ...
URBAN LAND-COVER MAPPING AND CHANGE DETECTION WITH RADARSAT SAR DATA USING NEURAL NETWORK AND RULE-BASED CLASSIFIERS
Urban High resolution SAR Land use/Land cover Mapping Classification Change Detection
2016/1/3
This paper presents a new approach to extract urban landuse/land-cover information from high-resolution radar satellite data. Five-date RADARSAT fine-beam SAR images over the rural-urban fringe of the...
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...
ESTIMATION OF ATMOSPHERIC TEMPERATURE AND HUMIDITY PROFILES FROM MODIS AND RADIOSOND DATA USING ARTIFICIAL NEURAL NETWORK
Neural Network Humidity Temperature Linear Regression Radiosond
2015/12/30
The aim of this study is to test the quality of the neural network for retrieving the temperature and humidity by comparison with the radiosond values and a linear regression method. Remote sensed ima...
DETECTION OF DAMAGED BUILDINGS AFTER AN EARTHQUAKE USING ARTIFICIAL NEURAL NETWORK ALGORITHM
Remote Sensing Earthquakes Detection Building High resolution Neural
2015/12/28
It is obvious that an earthquake always is counted a threat to species life. It is necessary to react both accurately and precisely to the disaster. The most damages refer to the buildings and the roa...