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STUDY ON THE CLASSIFICATION OF GAOFEN-3 POLARIMETRIC SAR IMAGES USING DEEP NEURAL NETWORK
SAR Classification Deep Learning GoogLeNet Landcover Gaofen-3 satellite
2018/4/30
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...
THE LOW BACKSCATTERING OBJECTS CLASSIFICATION IN POLSAR IMAGE BASED ON BAG OF WORDS MODEL USING SUPPORT VECTOR MACHINE
Low Backscattering Objects Bag of Words SIFT features Support Vector Machine
2018/4/30
Due to the forward scattering and block of radar signal, the water, bare soil, shadow, named low backscattering objects (LBOs), often present low backscattering intensity in polarimetric synthetic ape...
OBJECT-ORIENTED CLASSIFICATION OF LIDAR DATA FOR POST-EARTHQUAKE DAMAGE DETECTION
LiDAR Earthquake Classification Object Oriented Image Analysis Buildings Damage Detection
2018/3/6
The collapse of buildings during the earthquake is a major cause of human casualties. Furthermore, the threat of earthquakes will increase with growing urbanization and millions of people will be vuln...
A DECIDIOUS-CONIFEROUS SINGLE TREE CLASSIFICATION AND INTERNAL STRUCTURE DERIVATION USING AIRBORNE LIDAR DATA
LiDAR species classification geometrical analysis bole derivation branch derivation
2016/2/29
This project has two main purposes; the first is to perform deciduous-coniferous classification for 65 trees by using the leaf-on single
flight LiDAR data. It was done by looking at the geometrical ...
Automatic Classification of LIDAR Data into Ground and Non-Ground Points
LiDAR DEM/DTM Extraction Photogrammetry Classification Laser Scanning Point Cloud
2015/12/16
Recently, automatic object extraction from Light Detection And Ranging (LiDAR) data has attracted great attention. The level of detail and the quality of the collected point cloud motivated the resear...
LIDAR Data Classification Using Hierarchical K-Means Clustering
Remote Sensing LIDAR Hierarchical Classification DTM Multiresolution
2015/12/8
This paper deals with lidar point cloud filtering and classification for modelling the Terrain and more generally for scene segmentation. In this study, we propose to use the well-known K-means cluste...
Classification of LIDAR Point Cloud and Generation of DTM from LIDAR Height and Intensity Data In Forested Area
LIDAR Intensity Skewness Point Cloud DTM Forested Areas
2015/12/8
LIDAR (Light Detection And Ranging) is a mature remote sensing technology which can provide accurate elevation data for both topographic surfaces and above-ground objects. Derivation of accurate digit...
An Automatic Method Based on Gridding Segmentation for Trees' Classification in Forested Area
LIDAR Automatic Classification Gridding Segmentation
2015/12/8
In forestry applications, the great challenge is to automatically extract as much information as possible on forest structure, the vertical and horizontal distribution of vegetation, the delineation o...
Pre-classification of Points and Segmentation of Urban Objects by Scan Line Analysis of Airborne LIDAR data
Laser scanning LiDAR airborne remote sensing on-line processing
2015/12/4
Currently available laser scanners are capable of performing hundreds of thousands of range measurements per second at a range resolution of a few centimeters. Despite that increasing performance, up ...
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...
Automatic Classification of coarse density LiDAR data in urban area
LIDAR Vehicle Classification Airborne Urban PCA NDSM DTM
2014/6/30
The classification of different objects in the urban area using airborne LIDAR point clouds is a challenging problem especially with low density data. This problem is even more complicated if RGB info...
CLASSIFICATION OF WATER SURFACES USING AIRBORNE TOPOGRAPHIC LIDAR DATA
Lidar airborne classification water support vector machines seashore rivers
2013/4/30
Accurate Digital Terrain Models (DTM) are inevitable inputs for mapping areas subject to natural hazards. Topographic airborne laser scanning has become an established technique to characterize the Ea...
FOREST SPECIES CLASSIFICATION BASED ON STATISTICAL POINT PATTERN ANALYSIS USING AIRBORNE LIDAR DATA
Remote Sensing LiDAR Point Pattern Analysis K-function PCA Classification
2012/9/3
The paper investigated the effectiveness of point pattern methods in the application of forest species classification using airborne LiDAR data. The forest stands and individual trees in our study are...
PIXEL VS OBJECT-BASED IMAGE CLASSIFICATION TECHNIQUES FOR LIDAR INTENSITY DATA
LiDAR intensity data object-based classification decision tree.
2012/9/3
Light Detection and Ranging (LiDAR) systems are remote sensing techniques used mainly for terrain surface modelling. LiDAR sensors record the distance between the sensor and the targets (range data) w...