Pixel-based classification results
Pixel Based Sar Image Classification using Random Forest Algorithm
... T.S. Prasad holds M.Sc. Physics, M. Tech Remote Sensing and Advanced Level Course in Computer Science degrees. He has experience in teaching of basics of Remote Sensing, Digital Image Processing, Pattern Recognition, ...
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Pixel-Based Land Cover Classification by Fusing Hyperspectral and LiDAR Data
... land-cover classification, feature combination, dimensionality reduction ABSTRACT: Land cover classification has many applications like forest management, urban planning, land use change identification and ...
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PIXEL VS OBJECT-BASED IMAGE CLASSIFICATION TECHNIQUES FOR LIDAR INTENSITY DATA
... with pixel-based classification, the intensity data are used primarily and then additional bands such as DSM are used in the image classification ...object-based classification ...
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Skin Pixel Segmentation Using Learning Based Classification: Analysis and Performance Comparison
... skin pixel detection is locate the pixels of the skins and discard other non-related pixels from regions of the ...learning classification algorithms to identify the better classifier model for skin ...
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Object Based and Pixel Based Classification Using Rapideye Satellite Imager of ETI-OSA, Lagos, Nigeria
... Traditional classification approaches are all pixel-based, and do not utilize the spatial information within an object which is an important source of information to image ...the pixel- ...
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SPECTRAL-SPATIAL CLASSIFICATION OF SPECTRAL IMAGES WITH SUPER PIXEL-BASED DISCRIMINATIVE SPARES MODEL
... other classification approaches have focused on the design of effective feature extraction or reduction techniques, such as the principle component analysis, clonal selection feature-selection, kernel ...
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The Unsupervised Gravitational Mass Weighted Probability PCA For Pixel-Wise And Sub-Pixel Wise Classification
... sparse based algorithms are used to derive the spectral and spatial ...the classification performance in both pixel-wise and sub-pixel wise ...SVM classification results as ...
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Monitoring of Oil Exploitation Infrastructure by Combining Unsupervised Pixel-Based Classification of Polarimetric SAR and Object-Based Image Analysis
... the pixel-based PolSAR classification, results for both the classification based on only H/α and the one considering additionally the anisotropy (A/H/α) show a similar behavior ...
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A Combined Fuzzy Pixel-Based and Object-Based Approach for Classification of High-Resolution Multispectral Data Over Urban Areas
... The results in Table II show that all four object-based features contribute to the identification of Building segments and each provide complimentary ...
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Comparison of pixel -based and artificial neural networks classification methods for detecting forest cover changes in Malaysia
... (ANN) classification scheme is used to detect the forest cover changes in the Johor state in ...used. Results obtained with ANN technique was compared with Maximum likelihood classification (MLC) to ...
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Pixel-Based Teeth Classification Using Dental Panoramic X - Ray Images with Machine Learning Methods
... provides state of the art results and it is competitive with any leading machine learning algorithm on the performance front. CatBoost converts categorical values into numbers using various statistics on ...
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Detecting the Boundaries of Urban Areas in India: A Dataset for Pixel-Based Image Classification in Google Earth Engine
... supervised classification that delineates urban areas in one ...image classification and detection of urban ...The results demonstrate the potential for integrating high-resolution satellite imagery, ...
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Adaptive Resolution Upconversion for Compressed Video Using Pixel Classification
... is based on classification of local image patterns using both structure information and activity measure to explicitly distinguish pixels into content or coding ...Experimental results show that our ...
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Improving Hyperspectral Pixel Classification With Unsupervised Training Data Selection
... is based on an unsupervised study of the data by a clustering ...same results with less training data. Indeed, results shown outperform results of classification methods in literature ...
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Spatio-Temporal Vegetation Pixel Classification by Using Convolutional Networks
... which based on the life cycle of the ...adaptation, based on dropout method [11], just as in the proposed ...testing. Results are presented in the second part of Table ...Baselines based on ...
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A Survey on Sub Pixel Classification of High Resolution Satellite Imagery
... sub pixel mapping algorithms treat all mixed pixels as an identical type, either boundary-mixed pixel or linear sub pixel, leading to incomplete and inaccurate ...sub pixel mapping accuracy, ...
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Effective pixel classification of Mars images based on ant colony optimization feature selection and extreme learning machine
... new pixel classification scheme was proposed which leads to Mars image ...each pixel is windowed and mapped to a feature vector including wavelet and color ...all pixel classes could be ...
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Age Classification based on Corner Pixel Grey Level Co Occurrences Matrix (CP GLCM) of TN LBP
... 3. RESULTS AND DISCUSSIONS In implementing this a database is established by collecting 1002 facial images from FG-NET database, 500 images from Google database and other 600 images from the scanned photograph ...
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Segmentation of Lumbar Spine MRI Images for Stenosis Detection using Patch-based Pixel Classification Neural Network
... patch- based classification neural network consisting of convolutional and fully connected layers is used to classify and label pixels in MRI ...the classification network in segmenting the images ...
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Efficient Nonlinear Dimensionality Reduction for Pixel-wise Classification of Hyperspectral Imagery
... pogate/interpolate results from superpixel-based analysis schemes back to the original pixel grid; however, this is not typically done in the ...for pixel-level HSI classification by ...
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