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OBJECT CONTEXT INFORMATION FOR ADVANCED FOREST CHANGE CLASSIFICATION STRATEGIES
Forest change deforestation context classification object oriented change detection
2015/8/19
This paper describes a contextual classification approach to classify complex forest change classes. Multi temporal forest change classifications are performed comparing the 1989 baseline for the Kyot...
USING TEXTURE TO TACKLE THE PROBLEM OF SCALE IN LAND-COVER CLASSIFICATION
land-cover classification scale texture intensity segmentation visual perception
2015/8/19
This paper discusses the problem of scale in current approaches to Object Based Image Analysis (OBIA), and proposes how it may be overcome using theories of texture. It is obvious that aerial images c...
A LANDSAT STAND BASAL AREA CLASSIFICATION SUITABLE FOR AUTOMATING STRATIFICATION OF FOREST INTO STATISTICALLY EFFICIENT STRATA
Accuracy Estimation Forestry Inventory Modeling Multispectral Neural Sampling
2015/8/19
Operational large-scale inventories, such as the State of Mississippi’s inventory system, must have algorithms to rapidly categorize the forest resource into statistically efficient strata. These proc...
A MULTI-RESOLUTION HIERARCHY CLASSIFICATION STUDY COMPARED WITH CONSERVATIVE METHODS
Remote Sensing Image Classification Multi-Resolution Hierarchy
2015/8/17
Based on the principle of remote sensing image classification, the paper roundly discusses most popular conservative methods of supervised classification and unsupervised classification of remote sens...
A COMPARISON OF OBJECT-ORIENTED AND PIXEL-BASED CLASSIFICATION APPROACHS USING QUICKBIRD IMAGERY
Object-oriented pixel-based Segmentation classification Quickbird
2015/8/10
Many studies have been carried out to find an appropriate method to classify the remote sensing data.Traditional classification approaches are all pixel-based, and do not utilize the spatial informati...
DATA FUSION FOR CLASSIFICATION AND OBJECT EXTRACTION
Classification Extraction Fusion Orthoimage DEM/DTM
2015/8/7
This paper describes the fusion of information extracted from multispectral digital aerial images for land use classification. The proposed approach integrates spectral classification techniques and s...
MOTION DETECTION BY CLASSIFICATION OF LOCAL STRUCTURES IN AIRBORNE THERMAL VIDEOS
Detection of moving objects classification sensor pose estimation
2015/8/7
In this paper we present a method to efficiently detect moving objects namely vehicles in airborne thermal videos. The motion of the sensor is estimated from the optical flow using projective planar h...
SEGMENTATION OF VERY HIGH SPATIAL RESOLUTION SATELLITE IMAGES IN URBAN AREAS FOR SEGMENTS-BASED CLASSIFICATION
Urban remote sensing Satellite Image Very High Spatial Resolution Segmentation Image Object Texture eCognition Software Scale Parameter
2015/8/3
High spatial Resolution (VHR) satellite images offer a great potential for the extraction of information for urban areas. In order to derive useful thematic maps from VHR satellite images, other appro...
A USER-FRIENDLY AUTOMATIC TOOL FOR IMAGE CLASSIFICATION BASED ON NEURAL NETWORKS
Neural networks automatic classification image processing
2015/8/3
In this paper the implementation and the functionality of software created on the basis of neural networks technology is explained.The program developed allows the user to read an image, to create and...
A SELF-SUPERVISED APPROACH FOR FULLY AUTOMATED URBAN LAND COVER CLASSIFICATION OF HIGH-RESOLUTION SATELLITE IMAGERY
Self-supervised classification high-resolution satellite imagery urban land cover feature extraction
2015/8/3
Commercially available high-resolution satellite imagery from sensors such as IKONOS and QuickBird are important data sources for a variety of urban area applications including infrastructure feature ...
IMPROVEMENTS OF ROOF SURFACE CLASSIFICATION USING HYPERSPECTRAL AND LASER SCANNING DATA
Hyperspectral LIDAR reconstruction segmentation classification eCognition urban
2015/8/3
The quantitative assessment of pollutants on urban surfaces is of high economical and ecological interest. Nowadays a better part of the rain water from sealed urban surfaces is treated in sewage plan...
INNOVATIVE FEATURE SELECTION USED IN MULTISPECTRAL IMAGERY CLASSIFICATION FOR WATER QUALITY MONITORING
Remote Sensing ASTER Feature Selection Classifi cation Algorithms Land cover
2015/7/30
For the purposes of our study, an ASTER satellite image was used, acquired on 5 October, 2001, with
14 spectral bands resampled at the spatial resolution of 15 m. The study area concerns the geograph...
EFFECTS OF UNSUPERVISED FULLY CONSTRAINED LEAST SQUARES LINEAR SPECTRAL MIXTURE ANALYSIS METHOD ON AUTOMATIC CLASSIFICATION OF TM IMAGE
classification of remote sensing image linear spectral mixture mode
2015/7/30
Statistical analysis is a widely used traditional technique for classification and discrimination in remotely sensed images, which
supposes that there is only one endmember in an image pixel. Howeve...
COLOUR AERIAL PHOTOGRAPHY FOR RIVERBED CLASSIFICATION
Hydrology Classification Scale Texture Orthoimage Land Cover Aerial
2015/7/30
Colour aerial photography has the potential to identify and classify the size characteristics of exposed riverbed sediments over
large areas efficiently. This paper describes the findings of a pilot...
Multi-sensor multi-resolution image fusion for improved vegetation and urban area classification
Multi-sensor multi-resolution linear mixture model data fusion classification
2015/7/27
In this paper, we perform multi-sensor multi-resolution data fusion of Landsat-5 TM bands (at 30 m spatial resolution) and multispectral bands of World View-2 (WV-2 at 2 m spatial resolution) through ...