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LAND USE CLASSIFICATION FROM VHR AERIAL IMAGES USING INVARIANT COLOUR COMPONENTS AND TEXTURE
High resolution colour images texture classification invariant colour spaces aerial images
2016/11/23
Very high resolution (VHR) aerial images can provide detailed analysis about landscape and environment; nowadays, thanks to the rapid growing airborne data acquisition technology an increasing number ...
CLASSIFICATION OF URBAN AERIAL DATA BASED ON PIXEL LABELLING WITH DEEP CONVOLUTIONAL NEURAL NETWORKS AND LOGISTIC REGRESSION
aerial data urban areas evidence combination object classification deep feature learning
2016/11/23
The recent success of deep convolutional neural networks (CNN) on a large number of applications can be attributed to large amounts of available training data and increasing computing power. In this p...
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...
MAPPING AND UPDATING MAPS IN DENSE URBAN REGIONS USING HIGH RESOLUTION DIGITAL AIRBORNE IMAGERY,SURFACE MODELS AND OBJECT-BASED CLASSIFICATION
Classification HRSC-AX Ultracam Feature detection Multi-spectral remote sensing Airborne remote sensing
2015/12/31
Over the last couple of years more and more analogue airborne cameras were replaced by digital cameras. Digitally recorded image data show significant advantages to film based data. Digital aerial pho...
TEXTURE CLASSIFICATION OF AERIAL IMAGE BASED ON BAYESIAN NETWORK AUGMENTED NAIVE BAYES
Texture Classification Pattern Recognition Aerial Image
2015/12/31
Classification is an open, old and basic problem in many domains. Recently, a lot of new methods come forth, such as Bayesian Networks. Bayesian Networks, one of probabilistic networks, are a powerful...
A FULLY AUTOMATED PROCEDURE FOR DELINEATION AND CLASSIFICATION OF FOREST AND NON-FOREST VEGETATION BASED ON FULL WAVEFORM LASER SCANNER DATA
Laser scanning (LiDAR) Classification Aerial Survey Feature extraction Environmental monitoring Forestry
2015/12/28
Detailed geo-referenced information on the distribution and occurrence of forest and non-forest vegetation is essential for many different disciplines e.g. forestry, nature conservation, agriculture, ...
GEO-OBJECT BASED VHR IMAGE CLASSIFICATION SUPPORTED BY GIS LAYERS AND EXPERT KNOWLEDGE
object classification digital analysis land cover VHR satellite images
2015/11/16
The growing needs in obtaining diverse categories of information about Earth surface, including land cover, require the effective
and efficient methods of digital analysis to be work out. In contras...
CLASSIFICATION TREE BASED BUILDING DETECTION FROM LASER SCANNER AND AERIAL IMAGE DATA
Building Detection Classification Segmentation Automation Laser scanning Aerial image
2015/11/10
A classification tree based approach for building detection was tested. A digital surface model (DSM) derived from last pulse laser scanner data was first segmented and the segments were classified in...
A SUPERVISED CLASSIFICATION APPROACH TOWARDS QUALITY SELF-DIAGNOSIS OF 3D BUILDING MODELS USING DIGITAL AERIAL IMAGERY
Quality Self-diagnosis Consistency Image-based measures Performance evaluation Classification 3D City Models
2015/8/28
In the context of 3D building model production or updating, the models have to be manually checked one by one by a human operator in order to ensure their quality. In this paper, we investigate a new ...
AN OBJECT-ORIENTED CLASSIFICATION OF AN ARID URBAN FOREST WITH TRUE-COLOR AERIAL PHOTOGRAPHY
urban forest land cover classification high resolution aerial photography objectoriented
2015/8/3
In order to adequately model ecosystems services of the urban environment, it is necessary to accurately inventory urban vegetation abundance and spatial distribution. An object-based, methodological ...
URBAN LAND-USE CLASSIFICATION USING INTEGRATED AIRBORNE LASER SCANNING DATA AND HIGH RESOLUTION MULTI-SPECTRAL SATELLITE IMAGERY
DSM/DEM/DTM Classification Laser Scanning
2015/5/12
One of the most promising approaches to solve the challenging task of urban land-use classification is integration of multi-spectral
satellite image data and range data. In this paper, height data ac...
Comparison of object oriented classification techniques and standard image analysis for the use of change detection between SPOT multispectral satellite images and aerial photos
forestry change detection object-oriented GIS-update data fusion SPOT aerial photos eCognition
2014/12/31
The latest developments in remote sensing analysis software allow new ways of integrating satellite imagery with archive data from aerial photography. This paper shows how this integration is useful i...
CLASSIFICATION OF POLARIMETRIC SAR IMAGE BASED ON THE SUBSPACE METHOD
Polarimetric SAR Classification subspace features
2014/4/24
Land cover classification is one of the most significant applications in remote sensing. Compared to optical sensing technologies,
synthetic aperture radar (SAR) can penetrate through clouds and hav...
ASSESSING THE EXTENT AND SEVERITY OF EROSION ON THE UPLAND ORGANIC SOILS OF SCOTLAND USING EARTH OBSERVATION AND OBJECT ORIENTATED CLASSIFICATION METHODS
Peat Erosion Earth Observation data Aerial Photography Rule-based classification Image Segmentation Object Orientated Classification
2014/6/12
Much of Scotland’s uplands are covered by organic peat soils, these form a significant proportion of the global peat resource. Peat ecosystems play a key role in the global carbon cycle through seques...