[PDF] Top 20 Crop Detection and Classification using Remote Sensing Images
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Crop Detection and Classification using Remote Sensing Images
... for crop identification and classification ...Distribution Classification Algorithm) for effectually classifying the crop's ...for classification. One was supervised classification, ... See full document
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Border feature detection and adaptation for classification of remote sensing images
... for classification of remote sensing images is developed with a new ap- proach to choosing and adapting border feature vec- tors with the training ...proposed classification algorithm ... See full document
11
Border Feature Detection And Adaptation: A New Algorithm For Classification Of Remote Sensing Images
... new classification algorithm well suited for classification of remote sensing images is developed with a new approach to choosing and adapting border feature vectors with the training ... See full document
98
Classification of Remote Sensing Images using Wavelet Based Contourlet Transform and Accuracy Analysis of Classified Images
... In remote sensing classification of spatial and spectral feature of multispectral images with high accuracy provide greater performance ...for classification of both spectral and ... See full document
5
Interactive Multiscale Classification of. High-Resolution Remote Sensing Images
... of remote sensing images (RSIs) as a source of information in agribusiness applications is very ...of crop regions in remote sensing images are not trivial tasks ... See full document
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A novel information transferring approach for the classification of remote sensing images
... Traditional remote sensing images classification methods focused on using a large amount of labeled target data to train an efficient classification ...the classification ... See full document
12
Parsimonious Gaussian process models for the classification of hyperspectral remote sensing images
... from remote sensing images is classification ...for images with moderate spectral resolution ...hyperspectral remote sensing images, their classification has ... See full document
5
Parsimonious Gaussian process models for the classification of hyperspectral remote sensing images
... methods, remote sensing images, parsi- monious Gaussian process, hyperspectral, ...hyperspectral images with high spatial resolution has increased over the last ...Such remote ... See full document
6
Feature extraction and classification for hyperspectral remote sensing images
... of images represented by hundreds of spectral ...multispectral images, the high dimensional hyperspectal data cre- ates also a challenge for traditional spectral data processing ...tional ... See full document
162
Support vector classification of remote sensing images using improved spectral Kernels
... In this paper two spectral similarity measures are incorporated into the SVM kernel and classification results on benchmark data are compared with the standard Euclidean distance based c[r] ... See full document
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A Comparative Study of Active-Learning Techniques for Classification of Remote Sensing Images
... for remote sensing applications. To make remote sensing image classification effective the training set should be as small as possible and must include highly informative ...the ... See full document
8
Parsimonious Gaussian Process Models for the Classification of Multivariate Remote Sensing Images
... of classification accuracy, some of the proposed models perform equivalently to a SVM but they perform better than another kernel Gaussian mixture model previously defined in the ...best classification ... See full document
5
Advanced Techniques for the Classification of Very High Resolution and Hyperspectral Remote Sensing Images
... novel classification technique based on SVM that exploits the contextual information in order to render the learning of the clas- sifier more robust to possible mislabeled patterns present in the training ...the ... See full document
158
A COMPARATIVE STUDY OF CONVOLUTIONAL NEURAL NETWORKS FOR SEGMENTATION AND CLASSIFICATION OF REMOTE SENSING IMAGES
... Keywords: Remote sensing, Full Convolutional Network (FCN), Patch-based classification, pixel-to-pixel based segmentation, convnet-based feature ...NTRODUCTION Remote sensing is the ... See full document
5
Batch Mode Active Learning Methods for the Interactive Classification of Remote Sensing Images
... cover classification from RS images is generally performed by using supervised classification techniques, which require the availability of labeled samples for training the supervised ...the ... See full document
41
Vehicle Detection In Remote Sensing Images
... vehicle detection and localization in parking lots using high resolution UAV ...preprocessing, sensing, feature extraction, training and ...the images are thresholded iteratively in multiple ... See full document
6
Change Detection in Remote Sensing Images Using Elitist Genetic Algorithm
... II. R ELATED W ORK Earlier work in this area has been done for automated change analysis for thematic data using an object-based image analysis methodology. In [6], it is implemented within the scope of IMALYS, a ... See full document
5
Detection and Removal of Shadow Using Very High Resolution Remote Sensing Images
... (VHR) Remote Sensing images represent serious problems for their full ...(VHR) Remote Sensing images for their further applications, detection and removal of shadow is ... See full document
7
Object Detection in High Resolution Aerial Images and Hyperspectral Remote Sensing Images
... GP classification on the detection ...testing images, a scale factor is applied to the testing ...training images with object positioned in the same ...of images with a certain ... See full document
137
An Adroit Detection of Vegetation Index Covered in Remote Sensing Images
... Analysis, Remote Sensing Images, NDVI, NIR and Vegetation ...INTRODUCTION Detection and analysis of vegetation from an image is considered very important in the field of remote ... See full document
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