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High-resolution aerial images

Detection of Manhole Covers in High-Resolution Aerial Images of Urban Areas by Combining Two Methods

Detection of Manhole Covers in High-Resolution Aerial Images of Urban Areas by Combining Two Methods

... provide high resolution (<20 cm/pixel) orthophotos through open data platforms ...very high-resolution aerial and satellite ...

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Active Learning to Assist Annotation of Aerial Images in Environmental Surveys

Active Learning to Assist Annotation of Aerial Images in Environmental Surveys

... detection, aerial images, data annotation, human-in-the-loop ...using aerial images, ...of aerial high-resolution images targeting very different and specific ...

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A high-resolution index for vegetation extraction in IKONOS images

A high-resolution index for vegetation extraction in IKONOS images

... thematic resolution of vegetation community maps from remote sensing imagery has created a need for novel image analysis techniques ...IKONOS images to quantify urban vegetation, obtaining similar accuracy ...

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How to involve structural modeling for cartographic object recognition tasks in high-resolution satellite images?

How to involve structural modeling for cartographic object recognition tasks in high-resolution satellite images?

... in aerial images (Trias-Sanz and Lom´ enie , ...the images are labeled as Structure, Non- structure or Intermediate using a nearest neighbor ...

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Insights into the evolution of the Yenkahe resurgent dome (Siwi caldera, Tanna Island, Vanuatu) inferred from aerial high-resolution photogrammetry

Insights into the evolution of the Yenkahe resurgent dome (Siwi caldera, Tanna Island, Vanuatu) inferred from aerial high-resolution photogrammetry

... images shown in Fig. 1 . The north-eastern portion of the Siwi ring frac- ture is very well de fined, and the apparent vertical displacement reaches 80 m. Since the lower part of the fault is occupied by the Siwi ...

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Aligning and Updating Cadaster Maps with Aerial Images by Multi-Task, Multi-Resolution Deep Learning

Aligning and Updating Cadaster Maps with Aerial Images by Multi-Task, Multi-Resolution Deep Learning

... Fig. 1: Crop of one of the test images. Green buildings: ground truth ; red: mis- aligned [input] ; blue: aligned [our output] . digital elevation model which typically has a spatial resolution of 10 ...

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An automatic building reconstruction method: a structural approach using high resolution satellite images

An automatic building reconstruction method: a structural approach using high resolution satellite images

... Fig. 1. Building extraction result from a Digital Elevation Model associated rectangular building footprints. To do so, a structural ap- proach is used : buildings are reconstructed by merging simple urban structures. ...

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Identification of urban surface materials using high-resolution hyperspectral aerial imagery

Identification of urban surface materials using high-resolution hyperspectral aerial imagery

... 2.2.2.1 Classification algorithms Many classification algorithms can be used to distinguish between surface cover materials on a pixel or a region (object) basis. Priya and Murugan (2013), present a general review of ...

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On the explicit use of experimental images in high resolution cryo-EM refinement

On the explicit use of experimental images in high resolution cryo-EM refinement

... Discussion Single-particle cryo-EM has recently joined the circle of tech- niques that allow macromolecular structure determination at almost atomic resolution. The technique presents a clear advan- tage over ...

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Palm-trees detection with very high resolution images, comparison between Geoeye and Pléiades sensors

Palm-trees detection with very high resolution images, comparison between Geoeye and Pléiades sensors

... les images satellites THR et il est possible de marquer chaque ...les images THR qui permettra de généraliser l'estimation des performances des algorithmes de détection ...

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Assessment of tree detection methods in multispectral aerial images

Assessment of tree detection methods in multispectral aerial images

... data sets. After using a CNN to extract candidate blobs, they employed a secondary convolutional network to count. Finally, Ribera et al. [ 40 ], experimenting with AlexNet, Inception v2, Inception v3, and Inception v4, ...

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Developing a method to map coconut agrosystems from high-resolution satellite images

Developing a method to map coconut agrosystems from high-resolution satellite images

... either high or low (70% ...image resolution, allowing a high precision in manual mapping with a better discrimination between coconut and oil palm, thus limiting the proportion of mixed ...

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Very high resolution satellite images for parameterization of tree-scale forest process-based model

Very high resolution satellite images for parameterization of tree-scale forest process-based model

... is high, we explored the use of the radiometry of the multi-spectral ...of high resolution forest reflectance model [9, ...VHSR images appeared to be useful, but automatic detection of shade ...

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Extraction of cartographic objects in high resolution satellite images for object model generation

Extraction of cartographic objects in high resolution satellite images for object model generation

... As a first module, a detection method that uses very basic structural and spatial features of the objects has been developed [1]. This method generates an object model from the given examples. As input, the system uses ...

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Contributions to collaborative clustering and its potential applications on very high resolution satellite images

Contributions to collaborative clustering and its potential applications on very high resolution satellite images

... des images ` a tr` es haute r´ esolution, l’analyse d’image bas´ ee sur les pixels est maintenant peu pratiqu´ ee et l’analyse bas´ ee r´ egions est g´ en´ erale- ment pr´ ef´ er´ ee ...

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Conditional mixed-state model for structural change analysis from very high resolution optical images

Conditional mixed-state model for structural change analysis from very high resolution optical images

... The present work concerns the analysis of dynamic scenes from earth observation images. We are interested in building a map which, on one hand locates places of change, on the other hand, reconstructs a unique ...

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A Parametric Model for Automatic 3D Building Reconstruction from high resolution Satellite Images

A Parametric Model for Automatic 3D Building Reconstruction from high resolution Satellite Images

... Unité de recherche INRIA Sophia Antipolis 2004, route des Lucioles - BP 93 - 06902 Sophia Antipolis Cedex France Unité de recherche INRIA Futurs : Parc Club Orsay Université - ZAC des Vi[r] ...

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From statistical detection to decision fusion : detection of underwater mines in high resolution SAS images

From statistical detection to decision fusion : detection of underwater mines in high resolution SAS images

... providing high-resolution images (Hayes & Gough, ...constructs images with a strong granular aspect that can seriously handicap the interpretation of the data (Abbot & Thurstone, ...

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Denoising Very High Resolution Optical Remote Sensing Images: Application and Optimization of Non Local Bayes method

Denoising Very High Resolution Optical Remote Sensing Images: Application and Optimization of Non Local Bayes method

... Very High Resolution, Pl´eiades I. INTRODUCTION R EMOTE Sensing Images (RSI) are often corrupted by ...Very High Resolution (VHR) optical images such as those acquired by the ...

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High resolution SAR-image classification

High resolution SAR-image classification

... 1 Introduction In the context of modern remote sensing the use of Synthetic Aperture Radar (SAR) repre- sents a very important source of information for Earth observation. Working in the domain of microwaves, SAR is an ...

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