[PDF] Top 20 An Enhanced Framework for Change Detection in Very High Resolution Remote Sensing Images
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An Enhanced Framework for Change Detection in Very High Resolution Remote Sensing Images
... proposed framework over using CVA as a vector ( ). Using in the proposed framework provides overall accuracy 83 % and indicating that % of the image area had been changed over the period from 2007 to ... See full document
8
Road Vector Map Change Monitoring Based on High Resolution Remote Sensing Images
... map change detection were done in this ...original high resolution remote sensing image was cut into seg- ...View high resolution image of certain parts in the ... See full document
9
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 ... See full document
6
Intelligent Division for Change Detection in Multi spectral Remote sensing Images
... the Change Detection (CD) issue in multispectral remote sensing images utilizing division (segmentation) ...with change and no-change classes in the distinction ...genuine ... See full document
6
Firefly optimization algorithm for change detection in urban areas using remote sensing images
... the change detection super categories is the unsupervised versus supervised ...unsupervised change detection methods are used on low/medium-resolution ...unsupervised change ... See full document
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A System Which Supports Shadow Detection and Shadow Removal for High Resolution Remote Sensing Images
... In this method, shadow feature is extracted with region growing threshold method. Then object properties such as spectral features and geometric features are combined with a spatial relationship, in which the false ... See full document
6
Change detection in rice area using remote sensing data
... is very vital for spatial planning, management and utilization of ...Satellite images are using in the investigation of changes in land use and land cover as extremely useful ...low resolution ... See full document
5
CHANGE DETECTION OF REMOTE SENSING IMAGES USING LEVY FLIGHT PSO
... monitoring, change detection[1-3] has gained great interest in the recent ...geographical change detection using remote sensing imageries as the rationale behind this is ... See full document
5
A new approach for Classifying land development in High-Resolution Remote Sensing Images
... It is the intersection of two edges, it represents a point in which the directions of these two edges change. Hence, the gradient of the image (in both directions) have a high variation, which can be used ... See full document
8
Automated detection of snow avalanche deposits: segmentation and classification of optical remote sensing imagery
... regions, high spatial resolution, spatially continuous and multi-temporal mapping capabilities (change detection) and automated pro- cessing ... See full document
14
Refining Land-Cover Classification Maps Based on Dual-Adaptive Majority Voting Strategy for Very-High-Resolution Remote Sensing Images
... post-processing framework for VHR ...post-classification framework (GPCF) for improving land-cover mapping by using VHR ...using remote sensing ... See full document
19
Learning Multi Modality Features for Scene Classification of High Resolution Remote Sensing Images
... the enhanced variant of the conventional autoencoder using criterion of ...obtain high level features like CNNs, resulting in stacked denoising autoencoder (SDAE) [6] ...by images of the same class ... See full document
9
A Novel Registration Method for High Resolution Remote Sensing Images Based on JSEG and NMI
... in images, cross points in lines, angular points and the center of gravity of a region ...edge detection [37] and the ones on the basis of image gray-level ...of images should be encoded in methods ... See full document
18
Aircraft Identification in High Resolution Remote Sensing Images using Shape Analysis
... accurate detection. We evaluate this method using panchromatic 0.6-m resolution quickbird imagery, and the simulation results shows that the method proposed is accurate and ... See full document
7
Change Detection in Remote Sensing Images Using Elitist Genetic Algorithm
... the Change Detection in Remote Sensing Images using Elitist Genetic ...Algorithm. Remote sensing is the acquisition of information about an object or phenomenon, without ... See full document
5
Advanced Pre-Processing and Change-Detection Techniques for the Analysis of Multitemporal VHR Remote Sensing Images
... of very high geometrical resolution images acquired by the Quickbird sensor in October 2005 and July 2006 on the city of Trento (Italy) (Figure ...two images were: i) pan-sharpened; ii) ... See full document
135
Research on an Edge Detection Algorithm of Remote Sensing Image Based on Wavelet Enhancement and Morphology
... of high resolution remote sensing images, a novel edge detection algorithm based on wavelet enhancement and mathematical morphology is ...the remote sensing image ... See full document
6
Detection and Removal of Shadow Using Very High Resolution Remote Sensing Images
... E. NOISE REMOVAL: The binary image may be contains noise in the image. Basically this noise is due to the small objects such as cars, trees etc. in the image. The problem in removing noise from binary image is due to ... See full document
7
Crop Detection and Classification using Remote Sensing Images
... Deborah V.Gaso et al [45] projected to compute 2 disparate techniques centered on RS data to predict the wheat yield during winter season at the field scale. Successively, the accuracy of: (i) a simpler regression ... See full document
9
Advanced Techniques for the Classification of Very High Resolution and Hyperspectral Remote Sensing Images
... of very high resolution images With the availability of VHR images acquired by satellite multispectral scanners, it is possi- ble to acquire detailed information on the shape and the ... See full document
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