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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Can regional aerial images from orthophoto surveys produce high quality photogrammetric Canopy Height Model? A single tree approach in Western Europe
... between images ( Zimmermann and Hoffmann, 2017 ), the terrain complexity as well as the characteristics of the studied forest itself ( Goodbody et ...as aerial images are generally acquired on a ...
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Active Learning to Assist Annotation of Aerial Images in Environmental Surveys
... where aerial images are used to count objects of ...of images are available after an aerial campaign and are manually processed to identify and count these ...of images and complexity ...
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Segment-before-Detect: Vehicle Detection and Classification through Semantic Segmentation of Aerial Images
... Academic Editors: Norman Kerle, Markus Gerke and Prasad S. Thenkabail Received: 28 December 2016; Accepted: 7 April 2017; Published: 13 April 2017 Abstract: Like computer vision before, remote sensing has been radically ...
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Joining multi-epoch archival aerial images in a single SfM block allows 3-D change detection with almost exclusively image information
... analogue images with one another. This step allowed the use of archival aerial imagery in SfM workflow for automated mosaicking and DEM ...historical aerial imagery and transformed scanned im- ages ...
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Aligning and Updating Cadaster Maps with Aerial Images by Multi-Task, Multi-Resolution Deep Learning
... Fig. 5: Several crops of test images. Green buildings: ground truth ; red: mis- aligned [input] ; blue: aligned [our output] . The right crop is an example of the segmentation output. words, we compute the ...
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Detection of Manhole Covers in High-Resolution Aerial Images of Urban Areas by Combining Two Methods
... The preliminary results obtained using the geometrical filter are satisfactory as they allow the detection of 42% of manhole covers in residential areas. Surveying companies in southern France are often required to ...
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Segmentation of Textured Satellite and Aerial Images by Bayesian Inference and Markov Random Fields
... Unité de recherche INRIA Sophia Antipolis 2004, route des Lucioles - BP 93 - 06902 Sophia Antipolis Cedex France Unité de recherche INRIA Lorraine : LORIA, Technopôle de Nancy-Brabois - [r] ...
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Registration of visible and near infrared unmanned aerial vehicle images based on Fourier-Mellin transform
... of aerial images acquired in the visible and near infrared spectral ranges is particularly relevant for agricultural and environmental ...unmanned aerial vehicle (UAV) imagery, such a combination can ...
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Vision-based Absolute Localization for Unmanned Aerial Vehicles
... Unmanned Aerial Vehicles Aurélien Yol, Bertrand Delabarre, Amaury Dame, Jean-Émile Dartois and Eric Marchand Abstract— This paper presents a method for localizing an Unmanned Aerial Vehicle (UAV) using ...
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Building Extraction and Change Detection in Multitemporal Aerial and Satellite Images in a Joint Stochastic Approach
... (CIR) images [9], the healthy vegetation can been identified by finding peaks in the near infrared wavelength band, thus significant image parts can be excluded from the building detection ...of aerial ...
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Active detection for aerial survey
... Nowadays, remote sensing technologies greatly ease environmental assessment over large study areas using aerial images, e.g. for monitoring and counting animals or ships. Such data are most often analyzed ...
2
Active stabilization of unmanned aerial vehicle imaging platform
... unmanned aerial vehicles for various applications. These unmanned aerial vehicles are often equipped with the imaging platform like a ...unmanned aerial vehicle flight, the camera is subjected to ...
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Wrench Capability Analysis of Aerial Cable Towed Systems
... ABSTRACT Aerial cable towed systems (ACTSs) can be created by join- ing unmanned aerial vehicles (UAVs) to a payload to extend the capabilities of the system beyond those of an individual ...
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Nonlinear automatic control of fixed-wing aerial vehicles
... Chapter 1. Automation in Aviation plane Company which took in charge the production of Liberty Eagle aerial torpedoes. Kettering’s design came to be known as the "bug", and represented numerous innova- ...
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Kinodynamic motion planning for quadrotor-like aerial robots
... More specifically we will focus here on aerial robotics, i.e. flying robots. Histor- ically the first term used to refer to a remotely operated aircraft was drone (male bee). According to the military historian ...
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Collaborative Micro Aerial Vehicle exploration of outdoor environments
... Their user study found that interfaces which incorporated sensor displays (either by themselves or overlaid on top of a video display) induced higher workload for users who[r] ...
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An Optimal Control Problem of Unmanned Aerial Vehicle
... Abstract— An unmanned aerial vehicle (UAV) has grown rapidly the last years. They are being engaged in many types of missions, ranging from military to agriculture passing from entertainment and rescue or even ...
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Aerial surveys using an Unmanned Aerial System (UAS): comparison of different methods for estimating the surface area of sampling strips
... of images led us to discard two of them, because the image overlap was insufficient to carry out an aerotriangulation ...of images that were ultimately analyzed are described in Table ...
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Deploying fast object detection for micro aerial vehicles
... After the tracker found a bounding box for the object, the candidate detection still needed to be verified. Again we used the similarity metric to score the candidat[r] ...
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