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Sparse unmixing via variable splitting and augmented Lagrangian for vegetation and urban area classification using Landsat data
Sparse regression spectral unmixing Landsat abundance estimation spectral libraries endmember
2015/7/27
In this paper, we explore the possibility of sparse regression, a new direction in unmixing, for vegetation and urban area classification. SUnSAL (Sparse unmixing via variable splitting and augmented ...
Research On The Classification Of High Resolution Image Based On Object-oriented And Class Rule
Object-oriented sRules sHigh resolution sMulti-scale segmentation
2015/7/27
With the development of remote sensing technology, the spatial resolution, spectral resolution and time resolution of remote sensing data is greatly improved. How to efficiently process and interpret ...
CLASSIFICATION AND REPRESENTATION OF CHANGE IN SPATIAL DATABASE FOR INCREMENTAL DATA TRANSFER
incremental data transfer change Geographical Object update Classification representation
2015/6/1
Nowadays, more and more spatial databases are used in various fields, so the demands for keeping spatial database “fresh” are growing rapidly. Generally, the end-users get the basic spatial data from ...
AUTOMATIC LAND-COVER CLASSIFICATION OF LANDSAT IMAGES USING FEATURE DATABASE IN A NETWORK
Classification Land cover Database Networks Segmentation Object Software
2015/6/1
In order to utilize remote sensed images effectively, a lot of image classification methods are suggested for many years. But the accuracy of traditional methods based on pixel-based classification is...
THE EVOLUTION STUDY OF THE NATURAL HAZARD ZONES BY THE KOHONEN SELF-ORGANISING MAP CLASSIFICATION
change detection updating monitoring mapping multitemporal landcover imagery
2015/6/1
This article consists to explain the application of a semi automatic and multi temporal method of classification of the spot images.The objective is to follow the evolution of the units of landscapes ...
AN INTEGRATION OF WAVELET ANALYSIS AND NEURAL NETWORKS IN SYNTHETIC APERTURE RADAR IMAGE CLASSIFICATION
Image Classification Wavelet Analysis Neural Networks Texture and Structural Characteristics SAR
2015/6/1
In this paper, the concepts of wavelet analysis and neural networks are applied to the classification of shuttle imaging radar experiment C (SIR-C) synthetic aperture radar (SAR) data from a location ...
IMPROVEMENT OF IMAGE CLASSIFICATION WITH THE INTEGRATION OF TOPOGRAPHICAL DATA
Remote Sensing Classification Land cover Integration Accuracy
2015/5/27
Remotely sensed data are essentially used for land cover and vegetation classification. However, classes of interest are often imperfectly separable in the feature space provided by the spectral data....
MERGING AIRBORNE LIDAR DATA AND SATELLITE SAR DATA FOR BUILDING CLASSIFICATION
Urban Sensing Building Extraction Building Classification Airborne LiDAR Satellite SAR Data Fusion
2015/5/21
A frequent map revision is required in GIS applications, such as disaster prevention and urban planning. In general, airborne photogrammetry and LIDAR measurements are applied to geometrical data acqu...
AUTONOMOUS ONBOARD CLASSIFICATION EXPERIMENT FOR THE SATELLITE BIRD
Remote sensing resolution image sensor data rate the sensor data vehicle-mounted satellite
2015/5/12
The general trend in remote sensing is on one hand to increase the number of spectral bands and the geometric
resolution of the imaging sensors which leads to higher data rates and data volumes. On t...
CLASSIFICATION ALGORITHMS FOR BIG DATA ANALYSIS, A MAP REDUCE APPROACH
Big Data MapReduce Framework Hadoop Classification Algorithms Cloud Computing
2015/4/1
Since many years ago, the scientific community is concerned about how to increase the accuracy of different classification methods, and major achievements have been made so far. Besides this issue, th...
CONTEXTUAL CLASSIFICATION OF POINT CLOUDS USING A TWO-STAGE CRF
Classification Point Cloud Conditional Random Fields Contextual LiDAR Urban
2015/4/1
In this investigation, we address the task of airborne LiDAR point cloud labelling for urban areas by presenting a contextual classification methodology based on a Conditional Random Field (CRF). A tw...
AN OBJECT-WISE CLASSIFICATION APPROACH.
LINEAR SPECTRAL MIXTURE ANALYSIS OF TM DATA FOR LAND-USE AND LAND-COVER CLASSIFICATION IN RONDÔNIA, BRAZILIAN AMAZON
LINEAR SPECTRAL MIXTURE ANALYSIS LAND-USE LAND-COVER CLASSIFICATION RONDONIA, BRAZILIAN AMAZON
2015/3/16
LINEAR SPECTRAL MIXTURE ANALYSIS OF TM DATA FOR LAND-USE AND LAND-COVER CLASSIFICATION IN RONDÔNIA, BRAZILIAN AMAZON.
AUTOMATIC ANALYSIS AND CLASSIFICATION OF THE ROOF SURFACES FOR THE INSTALLATION OF SOLAR PANELS USING A MULTI-DATA SOURCE AND MULTI-SENSOR AERIAL PLATFORM
3D reconstruction aerial trike photogrammetry infrared thermography point cloud buildings solar influence solar panel
2015/3/3
A low-cost multi-sensor aerial platform, aerial trike, equipped with visible and thermographic sensors is used for the acquisition of all the data needed for the automatic analysis and classification ...
The composition of the output layer architecture in a Back-Propagation (BP) neural network for remote sensing image classification
Neural Network Remote Sensing Classification Output Layer Architecture
2015/2/5
A Neural Network is treated as a data transformer when used for mapping purposes. The objective in this case, is to
associate the elements in one set of data with the elements in a second set. Accord...