Aerial Images
Topographic analysis and photo interpretation of historical and recent aerial images. A case study: the ancient civo settlement (Taviano - Le)
... As part of the research activity of the Ancient Topography and Photogrammetry Lab at the University of Salento, the author has carried out the topographic analysis of a large portion of terrain (about 300 sq km) of the ...
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An Automatic Approach for the Extraction of Road Junctions from High-Resolution Aerial Images
... In this paper, an algorithm for the correct localisation of road junctions from high-resolution aerial images has been presented. We saw that the junction detector has a very high detection accuracy. In ...
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Enhancing Road Maps by Parsing Aerial Images Around the World
... This is advantageous as it is freely available on the web and the quality and quantity of the annotations are growing over time, as more users contribute to the project. However, the map information is noisy and ...
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DOTA: A large-scale dataset for object detection in aerial images
... The categories are selected by experts in aerial image in- terpretation according to whether a kind of objects is com- mon and its value for real-world applications. The first 10 categories are common in the ...
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Application of convolutional neural networks to building segmentation in aerial images
... of images so that each pixel in a group corresponds to the object class of the group as a ...of aerial images with different spatial, spectral and temporal ...for aerial images ...
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Automatic Classification of Collapsed Buildings using Stereo Aerial Images
... stereo images or laser scan data. Stereo or multiple images give important cues to infer three-dimensional (3D) ...post-earthquake aerial images together with the building polygons are ...
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Building Detection using Aerial Images and Digital Surface Models
... in aerial images. First straight lines are extracted from images by using an edge detector followed by a line ...satellite images and it employs image primitives such as lines, and line ...
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Shadow detection in color aerial images based on HSI space and color attenuation relationship
... color aerial images, which uses two ratio maps plus color attenuation relationship derived from blackbody radiator ...tested images, and prove that our proposed method has better shadow detection ...
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Learning to Match Aerial Images with Deep Attentive Architectures
... We compare our CNN models with a variety of baselines on the ‘aerial’ dataset. Our first baseline was a feature-based correspondence-matching method. We chose A-SIFT [42] as it offers all the capabilities of SIFT ...
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Developing an Algorithm to Process Matching of Complex Aerial Images
... the aerial images, such as corners, curved lines , straight lines, circles, closed loops ...different images are likely to segment into different sub-regions, because of noise, blurring and ...
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EFFICIENT BUILDING CATEGORY CLASSIFICATION WITH FAÇADE INFORMATION FROM OBLIQUE AERIAL IMAGES
... and aerial images), buildings can be automatically identified from the top-view, but the detailed categories of single buildings are not ...oblique images via a perspective ...
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Object detection for single tree species identification with high resolution aerial images
... resolution images ranging from 30cm to 50cm (Id, Leng and Liu, ...resolution aerial images since they have a positive impact on the classification accuracy (Id, Leng and Liu, ...resolution ...
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HD Maps: Fine-grained Road Segmentation by Parsing Ground and Aerial Images
... review. Aerial parsing with maps: While proven useful in many computer vision and robotics applications [9, 13, 3, 25], few works employ map information for parsing aerial im- ...and aerial ...
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Automatic Ship Classification from Optical Aerial Images with Convolutional Neural Networks
... from aerial images is a considerable ...spectrum images in order to use them as the input for traditional supervised ...an aerial image of visible spectrum contains a ship or ...of ...
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Detection of Tree Crowns Based on Reclassification Using Aerial Images and Lidar Data
... in aerial images. At high resolution aerial images boundary of objects like Buildings is clearly notable, but in LiDAR data there are some problems in detecting such ...and aerial ...
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Road detection and segmentation by aerial images using CNN based system
... from aerial images is difficult problem, but it has numerous important utilizations: The disaster monitoring crop monitoring in precision agriculture, border surveillance, traffic monitoring, and so ...from ...
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Precise Ship Location With CNN Filter Selection From Optical Aerial Images
... employs aerial images in the visible spectrum as inputs to train a categorical convolutional neural network for the classification of ...few images with bounding boxes of the targets to be trained ...
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Semantic Segmentation of Aerial Images Using Fusion of Color and Texture Features
... for aerial image segmentation. Multi-class aerial images are often featured with large intra-class variations and inter-class ...of aerial images is to make subsequent recognition phase ...
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Shadow Detection in Aerial Images using Machine Learning
... directly with input frame data and does not rely on an accurate estimate of the background reference. However, geometric based methods have scene limitations such as: they require specific object types, vehicles [10, 13] ...
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Vision based estimation of altitude from aerial images
... with aerial images taken from a UAV, they exposed to more questions that cannot be sufficiently addressed by changes in texture ...Also, aerial picture got less structure compared to picture taken on ...
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