搜索结果: 1-15 共查到“遥感信息工程 Network”相关记录49条 . 查询时间(0.254 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...
OBJECTS GROUPING FOR SEGMENTATION OF ROADS NETWORK IN HIGH RESOLUTION IMAGES OF URBAN AREAS
Road extraction Segmentation Objects grouping Object based image analysis Maximal similarity region merging
2016/11/24
Updated road databases are required for many purposes such as urban planning, disaster management, car navigation, route planning, traffic management and emergency handling. In the last decade, the im...
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...
A DIVERSIFIED DEEP BELIEF NETWORK FOR HYPERSPECTRAL IMAGE CLASSIFICATION
Diversity Deep Belief Network (DBN) Hyperspectral Image Classification
2016/11/23
In recent years, researches in remote sensing demonstrated that deep architectures with multiple layers can potentially extract abstract and invariant features for better hyperspectral image classific...
NETWORK DETECTION IN RASTER DATA USING MARKED POINT PROCESSES
Marked point processes RJMCMC graph digital terrain models networks
2016/7/28
We propose a new approach for the automatic detection of network structures in raster data. The model for the network structure is represented by a graph whose nodes and edges correspond to junction-p...
A CONVOLUTIONAL NETWORK FOR SEMANTIC FACADE SEGMENTATION AND INTERPRETATION
Convolutional Network Deep Learning Facade Interpretation Object Detection Segmentation
2016/7/28
In this paper we present an approach for semantic interpretation of facade images based on a Convolutional Network. Our network processes the input images in a fully convolutional way and generates pi...
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...
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...
GENETIC ALGORITHM OPTIMIZED NEUTRAL NETWORK CLASSIFICATION AND OVERLAPPING PIXEL CHANGE DETECTION BASED ON REMOTE SENSING FOR URBAN SPRAWL:A CASE STUDY IN JIADING DISTRICT OF SHANGHAI,CHINA
Multi-Spectral Remote Sensing Landuse Image Understanding Change Detection Urban Planning Back Propagation algorithm Genetic Algorithm Jiading District
2015/12/31
Taking Jiading district of Shanghai as the study area, which is one of the most typical urbanization fringe regions in Shanghai during the past decades, the urban sprawl in this region from 1989 to 20...
MAPPING GROUND DEFORMATION BY RADAR INTERFEROMETRY BASED ON PERMANENT-SCATTERER NETWORK:ALGORITHM AND TESTING RESULTS
Ground Deformation Radar Interferometry PS Networking Atmospheric Signal Empirical Mode Decomposition
2015/12/30
The full operational capability of synthetic aperture radar (SAR) interferometry in deformation monitoring has not been achieved yet due to the negative influences of spatio-temporal decorrelation and...