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IDENTIFICATION OF LOW ACCURACY REGIONS IN LAND COVER MAPS USING UNCERTAINTY MEASURES AND CLASSIFICATION CONFIDENCE
Multispectral images Classification Uncertainty Confidence Accuracy Spatial variation
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2018/11/9
The aim of this article is to assess if the data provided by soft classifiers and uncertainty measures can be used to identify regions with different levels of accuracy in a classified image. To this ...
PARALLEL IMPLEMENTATION OF MORPHOLOGICAL PROFILE BASED SPECTRAL-SPATIAL CLASSIFICATION SCHEME FOR HYPERSPECTRAL IMAGERY
Hyperspectral Extended Morphological Profile (EMP) spectral-spatial classification parallel processing GPU
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2016/11/23
Extended morphological profile (EMP) is a good technique for extracting spectral-spatial information from the images but large size of hyperspectral images is an important concern for creating EMPs. H...
TESTING OF LAND COVER CLASSIFICATION FROM MULTISPECTRAL AIRBORNE LASER SCANNING DATA
multi-wavelength ALS texture analysis classification data fusion laser intensity land cover mapping
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2016/11/23
Multispectral Airborne Laser Scanning provides a new opportunity for airborne data collection. It provides high-density topographic surveying and is also a useful tool for land cover mapping. Use of a...
GLOBAL LAND COVER CLASSIFICATION USING MODIS SURFACE REFLECTANCE PROSUCTS
Global Land Cover Classification Algorithm Multi-temporal Multi-spectral Co-occurrence Matrix Non-Parametric Classifier
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2016/11/23
The objective of this study is to develop high accuracy land cover classification algorithm for Global scale by using multi-temporal MODIS land reflectance products. In this study, time-domain co-occu...
EVALUATING THE POTENTIAL OF SATELLITE HYPERSPECTRAL RESURS-P DATA FOR FOREST SPECIES CLASSIFICATION
satellite airborne hyperspectral forest species
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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
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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....
On the use of multispectral and stereo data from airborne scanning systems for DTM generation and landuse classification
multispectral stereo data airborne scanning systems DTM generation landuse classification
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2016/5/20
Airborne pushbroom systems for the direct acquisition of digital imagery enable the simultaneous capture of high quality 3D and multispectral information of a scene. The combination of geometric and r...
CLASSIFICATION OF MODIS SPECTRAL AND ANGULAR SIGNATURES USING DECISION TREE ALGORITHM
MODIS BRDF Land Cover Classification BRDF shape indicator BRDF parameters
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2015/12/31
It is important to explore the ability of Bidirectional Reflectance Distribution Function (BRDF) to improve classification accuracy using MODerate Resolution Imaging Spectroradiometer (MODIS) BRDF and...
PERFORMANCE OF TDVI IN URBAN LAND USE/COVER CLASSIFICATION FOR QUALITY OF PLACE MEASUREMENT
PERFORMANCE URBAN LAND USE COVER CLASSIFICATION QUALITY OF PLACE MEASUREMENT
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2015/12/31
Measuring the Quality of Place (QOP) is a hard task since it involves both physical and socio-economic dimensions. Being one of the major land use categories, urban vegetation plays a significant role...
EVALUATION OF THE USEFULNESS OF TEXTURE MEASURES FOR CROP TYPE CLASSIFICATION BY HYPERION DATA
Hyperspectral Texture Quantization Classification Hyperion Linear Spectral Unmixing
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2015/12/28
Availability of new generation of hyperspectral sensors such as the Hyperion has lead to new challenges in the area of crop type mapping and agricultural management. Many crops like wheat and barley a...
OVERALL UNCERTAINTY OF GEOREFERENCING AND CLASSIFICATION
Bayesian classification Georeferencing Geometric transformation Bayesian estimation Fuzzy region
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2015/9/28
These two sources are embraced in the overall spatial precision of geographic objects. It is assumed that several geographic objects are given as a result of Bayesian classification of a given digital...
GEOSTATISTICAL TEXTURE CLASSIFICATION OF TROPICAL RAINFOREST IN INDONESIA
spectral classification tropical rainforests semivariogram texture layers geostatistics
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2015/9/28
Traditional spectral classification of remote sensing data applied on per pixel basis ignores the potentially useful spatial information between the values of proximate pixels. Although spatial inform...
THE ENMAP CONTEST:DEVELOPING AND COMPARING CLASSIFICATION APPROACHES FOR THE ENVIRONMENTAL MAPPING AND ANALYSIS PROGRAMME–DATASET AND FIRST RESULTS
Hyperspectral Imaging EnMAP Classification Benchmark Datasets Evaluation Methodology
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2015/9/21
The Environmental Mapping and Analysis Programme EnMAP is a hyperspectral satellite mission, supposed to be launched into space in the near future. EnMAP is designed to be revolutionary in terms of sp...
Classification and segmentation of terrestrial laserscanner point clouds using local variance Information
3D laser scanning point cloud classifi cation segmentation
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2015/8/24
With the use of terrestrial laser scanning, it is possible to capture thousands of 3-dimensional points on the surface of an object. The problem is that the vast quantity of data that needs to be mani...
OBJECT-BASED CLASSIFICATION OF INTEGRATED MULTISPECTRAL AND LIDAR DATA FOR CHANGE DETECTION AND QUALITY CONTROL IN URBAN AREAS
Change Detection classification quality control multispectral LIDAR
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2015/8/3
Digital spatial data are underlying strong temporal changes. The typical approach of updating these changes is to check the data manually by superimposing them on up-to-date orthoimages from aerial or...