remote-sensing images
Aircraft detection in remote sensing images based on saliency and convolution neural network
... New algorithms and architectures for the current industrial wireless sensor networks shall be explored to ensure the efficiency, robustness, and consistence in variable application environments which concern different ...
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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 ...the remote sensing images in the ...
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Fast And Efficient Classification Algorithm For Fuzzy C-Means Clustering In Remote Sensing Images
... Remote sensing image classification is the most practical approach among virtually all automated image recognition ...of remote sensing images is directly affected by sensor medium, ...
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Intelligent Division for Change Detection in Multi spectral Remote sensing Images
... in remote-sensing ...multi-temporal remote sensing information sets have demonstrated that the proposed methodology has the taking after qualities: 1) It is extremely appealing in producing ...
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Segment the Roads and Residential Areas from Remote Sensing Images Using 2-D Gradients and MMAD Model
... the remote sensing images; therefore, computing all points is a significant waste of computational ...into remote sensing images, the objects are segmented incompletely because ...
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A novel information transferring approach for the classification of remote sensing images
... In this section, we demonstrate the effectiveness of the proposed approach on remote sensing images classifica- tion tasks. The available data set, namely Pavia Univer- sity data set and Hohai ...
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3D remote sensing images parallax refining based on HTML5
... Authors have built a hierarchical pyramid structure and the logical structure is shown in Figure 1. The pyramid is divided into many layers, and each layer consists of many image tiles which size is 256*256 pixels. Each ...
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CHANGE DETECTION OF REMOTE SENSING IMAGES USING LEVY FLIGHT PSO
... of remote sensing images. Two difference images, one log ratio image and other a difference image generated by subtraction were fused in the undecimated wavelet domain, as UWT is good in ...
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Content Based Image Retrieval for Remote Sensing Images
... Remote sensing images have large data available. Manual data management is very difficult and time consuming for large volume of data.For managing large data with high accuracy.We introduce Content ...
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Advanced methods for the analysis of multispectral and multitemporal remote sensing images
... (e.g., Remote Sensing [133], Medical Diagnosis and Treatment ...two images representing the same scene at different ...multispectral images (a reasonable assumption for images obtained ...
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PERFORMANCE OF IMPULSE NOISE DETECTION METHODS IN REMOTE SENSING IMAGES
... Noise can be summarized as the visible effects of an electronic error or interference in the final image from a digital camera or any remote sensor. Noise is a function of how well the image sensor and digital ...
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An Adroit Detection of Vegetation Index Covered in Remote Sensing Images
... method is significantly useful for detecting the surface of the visible area. The multispectral remote sensing images carry essential integrating spectral and spatial features of an objects. In this ...
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A Comparative Study of Active-Learning Techniques for Classification of Remote Sensing Images
... For the classification of Remote Sensing Images several supervised methods have been proposed in different Remote sensing literature. In all these methods to train the classifier ...
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Change Detection in Remote Sensing Images Using Elitist Genetic Algorithm
... of Remote Sensing Images, extraction of visual information from images, finger print analysis, Character recognition from images and badly illuminated texts ...
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Innovative methods for the reconstruction of new generation satellite remote sensing images
... satellite images opened a new era in the remote sensing ...VHR images exhibit resolutions which allow distinguishing very well detailed features from small objects, like little building ...
140
An approach for correcting inhomogeneous atmospheric effects in remote sensing images
... Abstract. Two contextual-based approaches for correcting first order atmo- spheric effects due to atmospheric inhomogeneity and adjacency effect are described. The first method is a modification of the restoration method ...
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Vegetation of Low Cost Remote Sensing Images by Mean Shift Algorithm
... The images taken from the low cost system with uncalibrated camera have illumination variation, shadows and other elements that can degrade the automatic image processing ...
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Advanced Techniques based on Mathematical Morphology for the Analysis of Remote Sensing Images
... record images with hundreds of bands and a very high spectral ...of images increases the capability to distin- guish between land cover classes, thus achieving accurate classification ...
185
Image Registration Model For Remote Sensing Images
... Image registration is divided in two groups .1) Feature based methods 2) Area based methods. Feature based methods are used where there are easily detectable and enough distinctive objects. And where there are less ...
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Crop Detection and Classification using Remote Sensing Images
... Everton Castelão Tetila et al. [28] recommended a framework centered on a segmentation approach. Simple Linear Iterative Clustering (SLIC) recognized the soybean foliar diseases utilizing Unnamed Aerial Vehicle ...
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