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AUTOMATED CLASSIFICATION OF LAND COVER USING LANDSAT 8 OLI SURFACE REFLECTANCE PRODUCT AND SPECTRAL PATTERN ANALYSIS CONCEPT-CASE STUDY IN HANOI,VIETNAM
Land cover Landsat 8 surface reflectance pattern analysis automated classification
2016/12/1
Recently USGS released provisional Landsat 8 Surface Reflectance product, which allows conducting land cover mapping over large composed of number of image scenes without necessity of atmospheric corr...
ESTIMATING DBH OF TREES EMPLOYING MULTIPLE LINEAR REGRESSION OF THE BEST LIDAR-DERIVED PARAMETER COMBINATION AUTOMATED IN PYTHON IN A NATURAL BROADLEAF FOREST IN THE PHILIPPINES
DBH Estimation ALS Multiple Linear Regression Python Broadleaf Forest Forestry
2016/11/30
Diameter-at-Breast-Height Estimation is a prerequisite in various allometric equations estimating important forestry indices like stem volume, basal area, biomass and carbon stock. LiDAR Technology ha...
FULLY AUTOMATED GIS-BASED INDIVIDUAL TREE CROWN DELINEATION BASED ON CURVATURE VALUES FROM A LIDAR DERIVED CANOPY HEIGHT MODEL IN A CONIFEROUS PLANTATION
Crown Delineation Canopy Height Model (CHM) Local Maxima Curvature Slope Thiessen Polygons
2016/11/30
The generation of high resolution canopy height model (CHM) from LiDAR makes it possible to delineate individual tree crown by means of a fully-automated method using the CHM’s curvature through its s...
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...
AUTOMATED LARGE SCALE PARAMETER EXTRACTION OF ROAD-SIDE TREES SAMPLED BY A LASER MOBILE MAPPING SYSTEM
big data laser mobile mapping tree parameters urban voxels
2015/9/21
In urbanized Western Europe trees are considered an important component of the built-up environment. This also means that there is an increasing demand for tree inventories. Laser mobile mapping syste...
SEMI-AUTOMATED DETECTION OF SURFACE DEGRADATION ON BRIDGES BASED ON A LEVEL SET METHOD
Deterioration detection Monitoring Large infrastructures Level sets Image segmentation
2015/9/21
Due to the effect of climate factors, natural phenomena and human usage, buildings and infrastructures are subject of progressive degradation. The deterioration of these structures has to be monitored...
Automated Building Extraction from High-Resolution Satellite Imagery Using Spectral and Structural Information Based on Artificial Neural Networks
building extraction artificial neural networks learning C# programming environment
2015/9/17
Automatic building extraction remains an open research area in digital photogrammetry. While many algorithms have been proposed for building extraction, none of them solve the problem completely. This...
AUTOMATED 3D CITY MODELLING AND THE IMPORTANCE OF QUALITY ASSURANCE TECHNIQUES
Data Fusion 3D City Modelling Quality Assurance Automation Building Reconstruction
2015/9/17
Building reconstruction is essential in applications such as urban planning, telecommunication network planning, flight simulation and vehicle navigation which are of increasing importance in urban ar...
BENEFITS OF ROBUST PARAMETER ESTIMATION TECHNIQUES IN AN AUTOMATED GEOCODING PROCESSING CHAIN
Mathematics Modelling Rectification Automation Volcanoes
2015/9/17
Accurate geocoding of Earth observing (EO) satellite imagery is one major prerequisite to monitor the Earth’s environment. The quality of the obtained geocoded images depends on the accuracy of the se...
OVERVIEW AND EXPERIENCES IN AUTOMATED MARKERLESS IMAGE ORIENTATION
Features Orientation Adjustment Matching Automation
2015/8/31
Automated image orientation is still a key problem in close-range photogrammetry, in particular if wide baseline images are employed. Nowadays, within the image-based modeling pipeline, the orientatio...
OVERVIEW AND EXPERIENCES IN AUTOMATED MARKERLESS IMAGE ORIENTATION
Features Orientation Adjustment Matching Automation
2015/8/28
Automated image orientation is still a key problem in close-range photogrammetry, in particular if wide baseline images are employed. Nowadays, within the image-based modeling pipeline, the orientatio...
SEATH-A NEW TOOL FOR AUTOMATED FEATURE EXTRACTION IN THE CONTEXT OF OBJECT-BASED IMAGE ANALYSIS
Feature Analysis Object-Oriented Techniques Feature Quality Measure Automation Standardisation Nuclear Safeguards
2015/8/19
In order to avoid the time-consuming trial-and-error practice for seeking significant features for optimal class separation in object-based classification, an automatic feature extraction methodology,...
SEMI-AUTOMATED FOREST STAND DELINEATION USING WAVELET-BASED SEGMENTATION OF VERY HIGH RESOLUTION OPTICAL IMAGERY IN FLANDERS,BELGIUM
image segmentation forest stand delineation wavelets
2015/8/19
Stand delineation estimation is one of the cornerstones of forest inventory mapping and a key element to forest management decision making. Stands are forest management units defined mainly by similar...
AUTOMATED 3-D FEATURE EXTRACTION FROM TERRESTRIAL AND AIRBORNE LIDAR
Feature Analyst Automated Feature Extraction Machine Learning Geospatial Feature
2015/8/19
The U.S. Army and other Department of Defense (DoD) combat and combat support agencies requires automated feature extraction (AFE) software for collecting very high-resolution 3D urban features from t...
TROPICAL FOREST MONITORING BY OBJECT-BASED CHANGE DETECTION:TOWARDS AN AUTOMATED METHOD IN AN OPERATIONAL PERSPECTIVE
Deforestation mapping Segmentation Statistical object-based analysis Multidate Remote sensing
2015/8/19
Deforestation still nowadays occurs at an alarming rate in tropical regions. Forest monitoring is required to delineate the extents of deforested areas based on high resolution satellite images (SPOT)...