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AN ADAPTIVE CLUSTERING ALGORITHM BASED ON THE POSSIBILITY CLUSTERING AND ISODATA FOR MULTISPECTRAL IMAGE CLASSIFICATION
ISODATA Possibility Clustering Fuzzy Clustering
2015/12/31
For a clustering algorithm, the number of clusters is a key parameter since it is directly related to the number of homogenous regions in the given image. Although ISODATA clustering algorithm can det...
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...
EFFECTS OF JPEG2000 AND SPIHT COMPRESSION ON IMAGE CLASSIFICATION
JPEG2000 SPIHT Image compression Image classification assessment
2015/12/31
In the field of aerial/satellite remote sensing, the quality of data generated by remote sensing platforms is increasing at a significant rate and researches in image compression focus in two aspects:...
ANALYSIS OF THE TRANSFERABILITY OF SUPPORT VECTOR MACHINES FOR VEGETATION CLASSIFICATION
Remote Sensing Mapping Classification Accuracy High resolution Ikonos
2015/12/31
This paper reports on research analysing the potential of Support Vector Machines (SVMs) for mapping vegetation from high spatial resolution Ikonos imagery. The work investigated the utility of SVMs f...
OBJECT ORIENTED CLASSIFICATION:CASE STUDIES USING DIFFERENT IMAGE TYPES WITH DIFFERENT SPATIAL RESOLUTIONS
Object Oriented Classification Multi-spectral imagery Resolution 3D
2015/12/31
Sub-pixel based digital image classification outputs from coarse spatial resolution remote sensing images can be closer to ground information as compared to hard classification outputs. This hasbeen p...
APPLICATION OF HIGH RESOLUTION SATELLITE IMAGERY FOR WETLANDS COVER CLASSIFICATION USING OBJECT-ORIENTED METHOD
Classification Quickbird Land Cover Texture Feature Ecosystem Object
2015/12/31
Wetlands are considered an integral part of the global ecosystem, the development of the remote sensing technology makes us obtain very abundant information of wetlands, especially with the appearance...
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...
ORGANIZATION AND REPRESENTATION OF OBJECTS IN MULTI-SOURCE REMOTE SENSING IMAGE CLASSIFICATION
Object-oriented data model Dynamic object representation Multisensor Geometric feature Spectral feature
2015/12/31
Compared with the traditional remote sensing image processing system based on pixel, there are some unique characters in the object-based classification: various operations on objects; variety of obje...
IMPROVING HYPERSPECTRAL CLASSIFICATION BASED ONWAVELET DECOMPOSITION
Remote Sensing Hyperspectral Classification Calibration Analysis Data mining
2015/12/31
Information extraction from Hyperspectral imagery is highly affected by difficulties in accounting for flux density variation and Bidirectional reflectance effects. Calculation of flux density require...
USING A LABORATORIAL HYPERSPECTRAL IMAGE FOR THE EVALUATION OF FEATURE REDUCTION METHODS FOR THE CLASSIFICATION OF HIGH DIMENSIONAL DATA
Hyperspectral Sensing Feature Selection Feature Extraction Classification
2015/12/31
Thee rapid advances in hyperspectral sensing technology have made it possible to collect remote sensing data in hundreds of bands. However, the data analysis methods which have been successfully appli...
A GENETIC ALGORITHM BASED WRAPPER FEATURE SELECTION METHOD FOR CLASSIFICATION OF HYPERSPECTRAL IMAGES USING SUPPORT VECTOR MACHINE
Feature Selection Hyperspectral Genetic Algorithm Supported Vector Machine
2015/12/31
The high-dimensional feature vectors of hyper spectral data often impose a high computational cost as well as the risk of "over fitting" when classification is performed. Therefore it is necessary to ...
ACCURACY EVALUATION ON FUZZY SET CLASSIFICATION METHOD FOR HIGH SPATIAL RESOLUTION REMOTE SENSING DATA
Fuzzy set Classification High spatial resolution remote sensing data
2015/12/31
In the paper, a novel method for high spatial remote sensing data classification was put forward. The method was based on fuzzy set theory combined with NDVI. The classification experiments were carri...
SOME ISSUES RELATED WITH SUB-PIXEL CLASSIFICATION USING HYPERION DATA
Hyperspectral Data Sub-pixel Mixed Pixels Support Vector Machine (SVM) Fuzzy Error Matrix (FERM)
2015/12/30
The most significant breakthrough in remote sensing has been the development of hyperspectral sensors. Due to the spectral resolution limitations of conventional multispectral remote sensing, hyperspe...
CHARACTERIZATION OF HYDROCARBON MICROSEEPAGES IN THE TUCANO BASIN,(BRAZIL) THROUGH HYPERSPECTRAL CLASSIFICATION AND NEURAL NETWORK ANALYSIS OF ADVANCED SPACEBORNE THERMAL EMISSION AND REFLECTION RADIOMETER (ASTER) DATA
Geology Detection GIS Satellite ASTER Landsat ETM Neural Network Hydrocarbon Microseepage
2015/12/29
This study focus on the characterization of hydrocarbon microseepages in the northern Tucano Basin (Bahia State, Brazil), using geostatistical analysis of regional hydrocarbon geochemical data yielded...
COMBINED SUPERVISED CLASSIFICATION METHODS IN REMOTE SENSING FOR THE EVALUATION OF FOREST DYNAMICS ALONG THE SLOPES OF MOUNT CAMEROON
Mount Cameroon Remote Sensing Forest cover Lava flow National Advanced School of Engineering
2015/12/29
The Mount Cameroon forests risk being disappeared. This threat results from aspects such as lava destruction, the creation of vast plantations, farms and extension of settlements. Being 4095m high fac...