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REMOTE SENSING & GIS INTEGRATION FOR MONITORING THE AREAS AFFECTED BY FOREST FIRES: A CASE STUDY IN IZMIR, TURKEY
Remote Sensing Forest Fire Burn Indexes Classification Sentinel Landsat, DEM
2018/4/18
A forest fire is stated as an ecological disaster whether it is man-made or caused naturally. İzmir is one of the regions where forest fires are most intensified in Turkey. The study area located...
OBJECT DETECTION IN AIRBORNE LIDAR DATA FOR IMPROVED SOLAR RADIATION MODELING IN URBAN AREAS
Airborne LiDAR 3D Point Cloud Solar Potential 3D Horizon Segmentation Vegetation
2016/2/29
In times of higher market prices of fossil fuels and to meet the increasingly environmental and economic threads of climate change
renewable energy must play a major role for global energy supply. Th...
A Flow to Generate DEM and Segment Buildingin in Urban Areas from LIDAR Data
Lidar Fusion filter Digital elevation model Connected component labelling Mathematical morphology
2015/12/8
Based on the character of Lidar data，this paper presents a fusion arithmetic to abstract DEM，and presents a flow to get building data from the object data. Firstly, this paper preprocesses the range i...
Analysis of Full-Waveform LIDAR Data for an Accurate Classification of Urban Areas
lidar signal processing waveform analysis modelling classification urban
2015/12/4
In contrast to conventional airborne multi-echo laser scanner systems, full-waveform (FW) lidar systems are able to record the entire emitted and backscattered signal of each laser pulse. Instead of c...
SEMI-AUTOMATED CLASSIFICATION OF URBAN AREAS BY MEANS OF HIGH RESOLUTION RADAR DATA
High Resolution SAR Urban Areas Detection Contextual Analysis Texture Automation
2015/7/29
Almost two thirds of the world’s population will live in cities by 2030. Thus, human settlements typify the most dynamic regions on
earth. To cope with this development urban planning and management...
MONITORING CONCEPTS FOR COASTAL AREAS USING LIDAR DATA
Lidar digital terrain model classification conditional random fields coast
2014/4/24
Coastal areas are characterized by high spatial and temporal variability. In order to detect undesired changes at early stages, enabling rapid countermeasures to mitigate or minimize potential harm or...
USING FULL WAVEFORM DATA IN URBAN AREAS
LiDAR waveform classification Self-Organizing Map (SOM) Bayes classifier urban area
2014/5/8
In this paper, the use of waveform data in urban areas is studied. Full waveform is generally used in non-urban areas, where it can provide better vertical structure description of vegetation compared...
RECONSTRUCTION OF BUILDING OUTLINES IN DENSE URBAN AREAS BASED ON LIDAR DATA AND ADDRESS POINTS
LIDAR Point Cloud Algorithms Building Reconstruction
2014/4/28
The paper presents a comprehensive method for automated extraction and delineation of building outlines in densely built-up areas. A novel approach to outline reconstruction is the use of geocoded bui...
PHOTOGRAMMETRY FOR MAPPING UNDERGROUND UTILITY LINES WITH GROUND PENETRATING RADAR IN URBAN AREAS
Automation Orientation Navigation Urban Georeferencing Mobile Sequences Calibration
2014/4/25
Ground Penetrating Radar (GPR) is an active instrument often used to detect underground utility locations up to a few meters. To perform a three-dimensional reconstruction of position and geometry of ...
LIDAR MAPPING TECHNOLOGY TO POPULATE GREEN AREAS GIS
Application Mapping Database LIDAR Survey Vegetation
2014/5/9
In the last eight years the structure of Topographical Database of green areas has been implemented and consolidated: originally born to manage green areas in Milan, it is now used in other cities. Be...
VEHICLE ACTIVITY INDICATION FROM AIRBORNE LIDAR DATA OF URBAN AREAS BY BINARY SHAPE CLASSIFICATION OF POINT SETS
Airborne LiDAR Urban areas Vehicle extraction Motion indication Shape analysis
2016/3/1
This paper presents a generic scheme to analyze urban traffic via vehicle motion indication from airborne laser scanning (ALS) data.
The scheme comprises two main steps performed progressively － veh...
COMPLEX SCENE ANALYSIS IN URBAN AREAS BASED ON AN ENSEMBLE CLUSTERING METHOD APPLIED ON LIDAR DATA
LIDAR Feature Object Extraction Training Fusion Urban Building
2016/3/1
3D object extraction is one of the main interests and has lots of applications in photogrammetry and computer vision. In recent
years, airborne laser-scanning has been accepted as an effective 3D da...
A FEATURE BASED APPROACH TO AUTOMATIC CHANGE DETECTION FROM LIDAR DATA IN URBAN AREAS
LIDAR Change Detection Classification Segmentation
2016/2/29
Automatic change detection particularly in urban areas is the important tools for their management and planning. This paper presents
a feature based method to detect changes in urban area using two ...
A ROBUST METHOD USED WITH ORTHOGONAL POLYNOMIALS AND ROAD NETWORK FOR AUTOMATIC TERRAIN SURFACE EXTRACTION FROM LIDAR DATA IN URBAN AREAS
LIDAR DTM ALGORITHMS EXTRACTION
2015/6/1
The data provided by LIDAR systems are presented in a dense, accurate three-dimensional form without point classification, such as
buildings, trees roads, terrain, etc. The principal objective of th...