搜索结果: 1-15 共查到“知识库 工学 Neural network”相关记录120条 . 查询时间(0.031 秒)
ORTHOSEG: A DEEP MULTIMODAL CONVOLUTONAL NEURAL NETWORK ARCHITECTURE FOR SEMANTIC SEGMENTATION OF ORTHOIMAGERY
Deep Learning Supervised Image Segmentation Residual Networks
2019/2/28
This paper addresses the task of semantic segmentation of orthoimagery using multimodal data e.g. optical RGB, infrared and digital surface model. We propose a deep convolutional neural network archit...
ABOVEGROUND BIOMASS ESTIMATION USING RECONSTRUCTED FEATURE OF AIRBORNE DISCRETE-RETURN LIDAR BY AUTO-ENCODER NEURAL NETWORK
Aboveground Biomass (AGB) Estimation Discrete-Return LiDAR Regression Auto-Encoder Neural Network
2018/5/14
Aboveground biomass (AGB) estimation is critical for quantifying carbon stocks and essential for evaluating carbon cycle. In recent years, airborne LiDAR shows its great ability for highly-precision A...
STUDY ON THE CLASSIFICATION OF GAOFEN-3 POLARIMETRIC SAR IMAGES USING DEEP NEURAL NETWORK
SAR Classification Deep Learning GoogLeNet Landcover Gaofen-3 satellite
2018/5/16
Polarimetric Synthetic Aperture Radar（POLSAR） imaging principle determines that the image quality will be affected by speckle noise. So the recognition accuracy of traditional image classification met...
DEEP CONVOLUTIONAL NEURAL NETWORK FOR AUTOMATIC DETECTION OF DAMAGED PHOTOVOLTAIC CELLS
UAV, monitoring/inspection Anomaly Detection Deep Learning Photovoltaic Panels Thermography Classification
2018/6/4
The number of distributed Photovoltaic (PV) plants that produce electricity has been significantly increased, and issue of monitoring and maintaining a PV plant has become of great importance and invo...
THE SEGMENTATION OF POINT CLOUDS WITH K-MEANS AND ANN (ARTIFICAL NEURAL NETWORK)
Lidar Laser Scanning Photogrammetry Segmentation K-means ANN
2017/7/13
Segmentation of point clouds is recently used in many Geomatics Engineering applications such as the building extraction in urban areas, Digital Terrain Model (DTM) generation and the road or urban fu...
CONVOLUTIONAL NEURAL NETWORK FOR CAMERA POSE ESTIMATION FROM OBJECT DETECTIONS
Camera Pose CNN Head Detection Computer Graphics
2017/6/19
Known scene geometry and camera calibration parameters give important information to video content analysis systems. In this paper, we propose a novel method for camera pose estimation based on people...
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...
BOUNDARY DEPTH INFORMATION USING HOPFIELD NEURAL NETWORK
Boundary Stereo Matching Depth Information Optimization Discontinuity Hopfield Neural Network
2016/11/11
Depth information is widely used for representation, reconstruction and modeling of 3D scene. Generally two kinds of methods can obtain the depth information. One is to use the distance cues from the ...
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 ...