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FULL-PHYSICS INVERSE LEARNING MACHINE FOR SATELLITE REMOTE SENSING OF OZONE PROFILE SHAPES AND TROPOSPHERIC COLUMNS
Atmospheric composition measurements Satellite remote sensing Machine learning Ozone UV spectroscopy
2018/5/16
Characterizing vertical distributions of ozone from nadir-viewing satellite measurements is known to be challenging, particularly the ozone information in the troposphere. A novel retrieval algorithm ...
INTELLIGENT DETECTION OF STRUCTURE FROM REMOTE SENSING IMAGES BASED ON DEEP LEARNING METHOD
Remote Sensing Image Land Use Monitoring Deep Learning Neural Network Building
2018/5/16
Utilizing high-resolution remote sensing images for earth observation has become the common method of land use monitoring. It requires great human participation when dealing with traditional image int...
DEEP LEARNING AND IMAGE PROCESSING FOR AUTOMATED CRACK DETECTION AND DEFECT MEASUREMENT IN UNDERGROUND STRUCTURES
Deep Learning Automated Crack Detection Photographic Tunnelling Surveys
2018/6/4
This work presents the combination of Deep-Learning (DL) and image processing to produce an automated cracks recognition and defect measurement tool for civil structures. The authors focus on tunnel c...
EVALUATION OF DEEP LEARNING BASED STEREO MATCHING METHODS: FROM GROUND TO AERIAL IMAGES
Dense image matching Deep learning Convolutional neural network Aerial stereos Transfer learning
2018/6/4
Dense stereo matching has been extensively studied in photogrammetry and computer vision. In this paper we evaluate the application of deep learning based stereo methods, which were raised from 2016 a...
OBJECT DETECTION FROM MMS IMAGERY USING DEEP LEARNING FOR GENERATION OF ROAD ORTHOPHOTOS
Object detection Vehicle and its shadow detection Deep learning Faster R-CNN Road orthophoto Mobile mapping system
2018/6/4
In recent years, extensive research has been conducted to automatically generate high-accuracy and high-precision road orthophotos using images and laser point cloud data acquired from a mobile mappin...
DEEP LEARNING FOR LOWTEXTURED IMAGE MATCHING
image matching deep convolutional neural networks auto-encoders cultural heritage
2018/6/4
Low-textured objects pose challenges for an automatic 3D model reconstruction. Such objects are common in archeological applications of photogrammetry. Most of the common feature point descriptors fai...
CLASSIFICATION OF STRAWBERRY FRUIT SHAPE BY MACHINE LEARNING
Shape Recognition Classification Measurement Chain code Machine learning Random Forest Agriculture
2018/6/4
Shape is one of the most important traits of agricultural products due to its relationships with the quality, quantity, and value of the products. For strawberries, the nine types of fruit shape were ...
RAPID OBJECT DETECTION SYSTEMS, UTILISING DEEP LEARNING AND UNMANNED AERIAL SYSTEMS (UAS) FOR CIVIL ENGINEERING APPLICATIONS
Object detection Deep Learning Unmanned Aerial Systems Railway, Rapid
2018/6/4
With deep learning approaches now out-performing traditional image processing techniques for image understanding, this paper accesses the potential of rapid generation of Convolutional Neural Networks...
ROOFN3D: DEEP LEARNING TRAINING DATA FOR 3D BUILDING RECONSTRUCTION
3D Database Machine Learning 3D Building Models Classification Segmentation Reconstruction
2018/6/5
Machine learning methods have gained in importance through the latest development of artificial intelligence and computer hardware. Particularly approaches based on deep learning have shown that they ...
USE OF MULTIVARIATE MACHINE LEARNING ANALYSIS TECHNIQUES FOR FLOOD RISK PREVENTION
flood risk data Machine Learning Prediction
2018/4/18
Natural disasters such as flood are regarded to be caused by extreme weather conditions as well as changes in global and regional climate.
The prediction of flood incoming is a key factor to ensure c...
USE OF MULTIVARIATE MACHINE LEARNING ANALYSIS TECHNIQUES FOR FLOOD RISK PREVENTION
flood risk data Machine Learning Prediction
2018/5/8
Natural disasters such as flood are regarded to be caused by extreme weather conditions as well as changes in global and regional climate.
The prediction of flood incoming is a key factor to ensure c...
2018年远程教育与学习国际会议（2018 International Conference on Distance Education and Learning）
2018年 远程教育与学习 国际会议
2018/1/22
All submitted conference papers will be blind peer reviewed by three competent reviewers. After a careful reviewing process, all accepted papers after proper registration and presentation, will be pub...
2017年机器学习和数据科学国际会议（The International Conference on Machine Learning and Data Science）
2017年 机器学习 数据科学 国际会议
2017/11/27
The International Conference on Machine Learning and Data Science will focus on topics that are of interest to computer and computational scientists and engineers. MLDS-2017 will bring together resear...
Supercomputing Speeds Up Deep Learning Training（图）
Supercomputing Speeds Up Learning Training
2017/11/24
A team of researchers from the University of California, Berkeley, the University of California, Davis and the Texas Advanced Computing Center (TACC) published the results of an effort to harness the ...
Scientists Develop Machine-Learning Method to Predict the Behavior of Molecules（图）
Scientists Machine-Learning Method Predict the Behavior of Molecules
2017/10/26
An international, interdisciplinary research team of scientists has come up with a machine-learning method that predicts molecular behavior, a breakthrough that can aid in the development of pharmaceu...