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remotely sensed image

CLASSIFICATION OF REMOTELY SENSED IMAGE USING RELEVANCE VECTOR MACHINE

CLASSIFICATION OF REMOTELY SENSED IMAGE USING RELEVANCE VECTOR MACHINE

... a remotely sensed image classification method based on relevance vector machines ...the remotely sensed image are extracted and the classification is done[4] with the help of ...

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Remotely sensed image retrieval based on region-level semantic mining

Remotely sensed image retrieval based on region-level semantic mining

... a remotely sensed image database by approxi- mating the probabilities of images belonging to different classes using pixel-level ...region-level image content description is developed to ...

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A convolution-deconvolution method for improved storage and communication of remotely-sensed image data

A convolution-deconvolution method for improved storage and communication of remotely-sensed image data

... this image in one-dimension by way of a well know fractal curve referred to as the Hilbert space filling ...numerous image processing applications ...of image representation, before traversing all ...

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Object based remotely sensed image classification for identification of lowland native grassland communities in the Tasmanian Midlands

Object based remotely sensed image classification for identification of lowland native grassland communities in the Tasmanian Midlands

... in image segmentation protocols has been shown to improve results (Laws, ...band image was segmented in eCognition v 9 (Trimble Navigation, 2014) 55 times using scale factors ranging from 20 and 300, with ...

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Survey on Remotely Sensed Image Classification Techniques using Support Vector Machines and Swarm Intelligence

Survey on Remotely Sensed Image Classification Techniques using Support Vector Machines and Swarm Intelligence

... sensing image classification in the past decade, including the multi scale object-based approaches and some new categorization algorithms like, SVM, fuzzy clustering algorithm, EA, ...

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A hybrid MLP CNN classifier for very fine resolution remotely sensed image classification

A hybrid MLP CNN classifier for very fine resolution remotely sensed image classification

... for the classification of very fine spatial resolution VFSR remotely sensed imagery... The decision fusion rules, designed primarily based on the classification confidence.[r] ...

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Remotely Sensed Image Segmentation using Multiphase Level Set ACM

Remotely Sensed Image Segmentation using Multiphase Level Set ACM

... the image which belongs to Eden Gardens, ...segmented image; they found that the roof, pitch, and the small piece of land are visualized as in ‘Light Sea Green color’, shadowed area or dark zone has ...

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Assessment of remotely sensed drought features in vulnerable agriculture

Assessment of remotely sensed drought features in vulnerable agriculture

... satisfactory. It is clear that remote sensing has indicated some new capabilities in assessing and monitoring the spatiotem- poral variability of drought episodes. Several drought fea- tures are analysed from the ...

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QuakeSim: Integrated Modeling and Analysis of Geologic and Remotely Sensed Data

QuakeSim: Integrated Modeling and Analysis of Geologic and Remotely Sensed Data

... must be focused on identifying and tackling grand challenges that span areas of expertise. Collaboration alone is not enough: the field needs a common framework designed to foster the desired connections. This is ...

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A REVIEW OF GEOTHERMAL MAPPING TECHNIQUES USING REMOTELY SENSED DATA

A REVIEW OF GEOTHERMAL MAPPING TECHNIQUES USING REMOTELY SENSED DATA

... using image correction techniques from high resolution ASTER and the correction of the thermal effects caused by topography and ...thermal image was unable to detect a thermal anomaly at the main sinter ...

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Multi Temporal Analysis of Remotely Sensed Information Using Wavelets

Multi Temporal Analysis of Remotely Sensed Information Using Wavelets

... methodology must separate changes in ecosystems into three frequency components: seasonal changes (e.g. suc- cession, seasonal precipitation), gradual changes (e.g. interannual temperatures tendencies, land degradation) ...

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Comparison of Maximum Likelihood Estimators and Regression Models in Mediterranean Forests Fires for Severity Mapping Using Landsat TM and ETM+ Data

Comparison of Maximum Likelihood Estimators and Regression Models in Mediterranean Forests Fires for Severity Mapping Using Landsat TM and ETM+ Data

... time using remotely sensed spectral indices imagery from Landsat data in a Mediterranean 481. ecosystem[r] ...

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Performance Analysis of K Means Clustering For Remotely Sensed Images

Performance Analysis of K Means Clustering For Remotely Sensed Images

... In the classification process images are taken and processed to identify the changes that may have taken place. The output is the accurate classified image, indicating the different features .Two types of ...

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Analysis of Change Detection Techniques using Remotely Sensed Data

Analysis of Change Detection Techniques using Remotely Sensed Data

... using remotely sensed ...(2) image differencing, (3) image regression, and (4) principal component ...several image processing steps were conducted by the aid of MATLAB software version ...

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Landuse changes over 21 years and impact on groundwater aquifer in and around Cox's Bazar town, Bangladesh

Landuse changes over 21 years and impact on groundwater aquifer in and around Cox's Bazar town, Bangladesh

... The historical archive of Landsat imagery provided a unique and valuable data source for tracking changes in the landscape. Landsat 4 & 5 TM (30m resolution) during the period of February 22, 1989 – February 24, 2010 ...

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Detection of incomplete enclosures of rectangular shape in remotely sensed images

Detection of incomplete enclosures of rectangular shape in remotely sensed images

... We develop an approach for detection of ruins of live- stock enclosures in alpine areas captured by high-resolution remotely sensed images. These structures are usually of approximately rectangular shape ...

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Fast Registration of Remotely Sensed Images for Earthquake Damage Estimation

Fast Registration of Remotely Sensed Images for Earthquake Damage Estimation

... motely sensed sensors and the revisiting frequency of satel- lites have increased ...spectral remotely sensed images for regular and e ffi cient con- trol of the environment [1, ...

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Object Shadow Detection and Removal from Remotely Sensed Images

Object Shadow Detection and Removal from Remotely Sensed Images

... original image, in which shadow is formed on road due to high building on roadside and car in shadow not visible ...regions. Image enhancement using adaptive histogram equalization and image ...

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Water Bodies Mapping in Remotely Sensed Satellite Images

Water Bodies Mapping in Remotely Sensed Satellite Images

... using image processing techniques; this study assessed the benefits of using higher spatial resolution ...in remotely sensed aerial images using image segmentation and image morphology ...

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Enhancement of Image using Fuzzy Inference System for Remotely Sensed Multi Temporal Images

Enhancement of Image using Fuzzy Inference System for Remotely Sensed Multi Temporal Images

... need remotely sensed data with higher spatial resolution and wider coverage ...accumulated remotely sensed data has been collected around the ...

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