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URBAN LAND USE CLASSES WITH FUZZY MEMBERSHIP AND CLASSIFICATION BASED ON INTEGRATION OF REMOTE SENSING AND GIS
Land Use Classification Fuzzy Modeling Image Analysis GIS
2015/2/5
Urban land use classification from remotely sensed images has drawn great attention in the past decades. Most
researchers derive land use data from remotely sensed images alone, but the results are ...
The Classification using the Merged Imagery from SPOT and LANDSAT
TM SPOT Neural Networks MLC
2015/2/3
Several commercial companies that plan to provide improved panchromatic and/or multi-spectral remote sensor data
in the near future are suggesting that ‘ merge’ datasets will be of significant value....
LAND USE CLASSIFICATION AT MESO-SCALE USING REMOTELY SENSED DATA
Remote sensing data space land cover classification coarse resolution sensors linear mixed models
2015/2/3
In this paper we present a framework to generate a land cover classification from coarse spatial resolution remotely sensed data acquired by NOAA-AVHRR sensor. We define a model for the pi...
CLASSIFICATION BY A PROXIMITY MATRIX
Physics Philosophy Information Classification Proximity Matrix
2015/1/23
Elaboration of concepts of Matter, Being and Becoming marks the first Age of Greek Philosophy The school of Pitagoras is the first break between reality and thought, but splitting of spirit from matte...
LIKELIHOOD-BASED IMAGE SEGMENTATION AND CLASSIFICATION: CONCEPTS AND APPLICATIONS
Classification Knowledge Engineering Remote Sensing Segmentation
2014/12/31
This paper describes a likelihood-based segmentation and classification method for remotely sensed images. It is based on optimization of a utility function, described as a function of likelihood of a...
EFFECT OF WAVELET COMPRESSION ON THE AUTOMATIC CLASSIFICATION OF URBAN ENVIRONMENTS USING HIGH RESOLUTION MULTISPECTRAL IMAGERY AND LASER SCANNING DATA
Data Compression Wavelets Data fusion Classification
2014/12/31
This paper examines the influence of data fusion and wavelet compression on the automatic classification of urban environments. The principal data used is airborne Daedalus scanner imagery. Laser scan...
ROAD SURFACE TEXTURES CLASSIFICATION USING OPENING-BASED IMAGE PROCESSING
texture analysis road surface inspection hierarchical process multiresolution cooccurrence matrix morphological pyramid
2014/12/31
This paper deals with an innovative approach for achieving an automatic vision system for road surface texture classifi-cation. A road surface is composed by aggregates with a particular grain size di...
THE SPECTRAL-TEMPORAL RESPONSE SURFACE AND ITS USE IN THE MULTI-SENSOR, MULTITEMPORAL CLASSIFICATION OF AGRICULTURAL CROPS
Multitemporal Classification Multisensor/multispectral fusion Land use Integration
2014/12/30
A method for classifying agricultural crops using multi-temporal, multi-spectral and multi-source remotely-sensed data is described. The procedure characterises all the pixels in a scene by considerin...
SAR AND LANDSAT TM IMAGE FUSION FOR LAND COVER CLASSIFICATION IN THE BRAZILIAN ATLANTIC FOREST DOMAIN
Synthetic Aperture Radar (SAR) Landsat TM Orthorectification Image fusion Gaussian maximum likelihood classification Error matrix
2014/12/29
This paper demonstrates the applicability of Landsat TM and SAR image fusion for land cover classification in the Brazilian Atlantic forest domain. The Atlantic forest is considered one of the most th...
Comparative Analysis of Haar and Daubechies Wavelet for Hyper Spectral Image Classification
Wavelet transform Classification Support Vector Machine (SVM) Airborne Visible Infrared Imaging Spectrometer(AVIRIS)
2014/12/16
With the number of channels in the hundreds instead of in the tens Hyper spectral imagery possesses much richer spectral information than multispectral imagery. The increased dimensionality of such Hy...
Land Use and Land Cover Classification from ETM Sensor Data : A Case Study from Tamakoshi River Basin of Nepal
Land use land cover Land sat supervised
2014/12/16
The mountain watershed of Nepal is highly rugged, inaccessible and difficult for acquiring field data. The application of ETM sensor Data Sat satellite image of 30 meter pixel resolutions has been use...
Land use land cover classification using local multiple pattern from very high resolution satellite imagery
LULC classification Local Multiple patterns WorldView-2 Texture Neural network classifier
2014/12/16
The recent development in satellite sensors provide images with very high spatial resolution that aids detailed mapping of Land Use Land Cover (LULC). But the heterogeneity in the landscapes often res...
Enhanced Urban Landcover Classification for Operational Change Detection Study Using Very High Resolution Remote Sensing Data
WorldView-2 QuickBird Support Vector Machine Change Detection
2014/12/16
This study presents an operational case of advancements in urban land cover classification and change detection by using very high resolution spatial and multispectral information from 4-band QuickBir...
Forest above ground biomass estimation and forest/non-forest classification for Odisha, India, using L-band Synthetic Aperture Radar (SAR) data
Above ground biomass SAR backscatter coefficient Texture Support Vector Machine Classification
2014/12/15
Tropical forests contribute to approximately 40 % of the total carbon found in terrestrial biomass. In this context, forest/non-forest classification and estimation of forest above ground biomass over...
Improved Classification of Mangroves Health Status Using Hyperspectral Remote Sensing Data
Mangroves health Hyperspectral Band reduction Soil adjusted vegetative indices classification
2014/12/15
Mangrove ecosystem plays a crucial role in costal conservation and provides livelihood supports to humans. It is seriously affected by the various climatic and anthropogenic induced changes. The conti...