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A FULLY AUTOMATED PIPELINE FOR CLASSIFICATION TASKS WITH AN APPLICATION TO REMOTE SENSING
Automated Machine Learning Feature Generation Classification Meta-heuristic Hyperparameter Optimization Particle Swarm Optimization UC Merced Land Use data set
2016/7/28
Nowadays deep learning has been intensively in spotlight owing to its great victories at major competitions, which undeservedly pushed ‘shallow’ machine learning methods, relatively naive/handy algori...
CLASSIFICATION OF LiDAR DATA WITH POINT BASED CLASSIFICATION METHODS
LiDAR Point Cloud Classification Point Based Vegetation Building Ground
2016/7/27
LiDAR is one of the most effective systems for 3 dimensional (3D) data collection in wide areas. Nowadays, airborne LiDAR data is used frequently in various applications such as object extraction, 3D ...
LAND COVER CLASSIFICATION FROM FULL-WAVEFORM LIDAR DATA BASED ON SUPPORT VECTOR MACHINES
LiDAR Support Vector Machines (SVM) Full-Waveform Land Cover Classification Waveform decomposition Feature extraction
2016/7/27
In this study, a land cover classification method based on multi-class Support Vector Machines (SVM) is presented to predict the types of land cover in Miyun area. The obtained backscattered full-wave...
CLASSIFICATION OF LIDAR DATA FOR GENERATING A HIGH-PRECISION ROADWAY MAP
Lidar Feature extraction Machine learning Classification Mobile mapping
2016/7/27
Generating of a highly precise map grows up with development of autonomous driving vehicles. The highly precise map includes a precision of centimetres level unlike an existing commercial map with the...
TENSOR MODELING BASED FOR AIRBORNE LiDAR DATA CLASSIFICATION
Feature Selection Tensor Processing KNN classification
2016/7/27
Feature selection and description is a key factor in classification of Earth observation data. In this paper a classification method based on tensor decomposition is proposed. First, multiple features...
THE IQMULUS URBAN SHOWCASE:AUTOMATIC TREE CLASSIFICATION AND IDENTIFICATION IN HUGE MOBILE MAPPING POINT CLOUDS
Mobile mapping big data classification trees cloud computing web-based visualization
2016/7/27
Current 3D data capturing as implemented on for example airborne or mobile laser scanning systems is able to efficiently sample the surface of a city by billions of unselective points during one worki...
3D LAND COVER CLASSIFICATION BASED ON MULTISPECTRAL LIDAR POINT CLOUDS
Multispectral Lidar OBIA Intensity Imagery Multi-resolution Segmentation Classification Accuracy Assessment 3D Land Cover Classification
2016/7/5
Multispectral Lidar System can emit simultaneous laser pulses at the different wavelengths. The reflected multispectral energy is captured through a receiver of the sensor, and the return signal toget...
RANDOM FOREST AND OBJECTED-BASED CLASSIFICATION FOR FOREST PEST EXTRACTION FROM UAV AERIAL IMAGERY
Superpixel Simple Linear Iterative Cluster (SLIC) texture Forest Pest Random Forest unmanned aerial vehicle (UAV) aerial imagery
2016/7/5
Forest pest is one of the most important factors affecting the health of forest. However, since it is difficult to figure out the pest areas and to predict the spreading ways just to partially control...
EVALUATING THE POTENTIAL OF SATELLITE HYPERSPECTRAL RESURS-P DATA FOR FOREST SPECIES CLASSIFICATION
satellite airborne hyperspectral forest species
2016/7/4
Satellite-based hyperspectral sensors provide spectroscopic information in relatively narrow contiguous spectral bands over a large area which can be useful in forestry applications. This study evalua...
PAIRWISE-SVM FOR ON-BOARD URBAN ROAD LIDAR CLASSIFICATION
LiDAR on-board classifiaction SVM MRF
2016/7/4
The common method of LiDAR classifications is Markov random fields (MRF). Based on construction of MRF energy function, spectral and directional features are extracted for on-board urban point clouds....
Epistemic vs Ontic Classification of quantum entangled states?
Quantum entanglement subsystems (partitions and factorizables states) epistemic vs ontic elements
2016/5/30
In this brief paper, starting from recent works, we analyze from conceptual point of view this basic question: can be the nature of quantum entangled states interpreted ontologically or epistemologica...
ReVision: Automated Classification, Analysis and Redesign of Chart Images
Visualization chart understanding information extraction redesign computer vision
2016/5/24
Poorly designed charts are prevalent in reports, magazines,
books and on the Web. Most of these charts are only available
as bitmap images; without access to the underlying data it is
prohibitively...
Automatic classification of remote sensing data for GIS database revision
Automatic classification remote sensing data GIS database revision
2016/5/23
Geographic information systems (GIS) are dependent on accurate and up-to-date data sets. The manual revision of GIS data is very cost and time consuming. On the other hand more and more high resolutio...
Segmentation of remotely sensed images based on the uncertainty of multispectral classification
Segmentation remotely sensed images uncertainty multispectral classification
2016/5/20
Since the launch of high-resolution sensors, the use of satellite images as a major source of spatial information has been the subject of extensive research in a broad range of applications. In partic...
High quality DTMs from contourlines by knowledge-based classification of problem regions
High quality DTMs contourlines knowledge-based classification problem regions
2016/5/20
Contourline maps are increasingly used to generate DTMs (Digital Terrain Models). That's, because in most countries such maps are existing, covering the whole area in different scales, thus representi...