high-resolution aerial imagery
High-resolution aerial imagery semantic labeling with dense pyramid network
... of high-resolution aerial images is of great importance in certain fields, but the increasing spatial resolution brings large intra-class variance and small inter-class differences that can ...
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Automatic Object-Oriented, Spectral-Spatial Feature Extraction Driven by Tobler’s First Law of Geography for Very High Resolution Aerial Imagery Classification
... Abstract: Aerial image classification has become popular and has attracted extensive research efforts in recent ...very high spatial resolution but relatively insufficient spectral ...very ...
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Developing an Automated Land Cover Classifier Using LiDAR and High Resolution Aerial Imagery
... Furthermore, with the advent of LiDAR (Light Detection and Ranging) technology, another extensive array of possibilities was unlocked. Not only land cover classification was carried out using hybrid methods, but the ...
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Building extraction from high-resolution aerial imagery using a generative adversarial network with spatial and channel attention mechanisms
... Table 2 presents the accuracy and IoU of different methods on the Inria aerial image labeling dataset. It is worth noting that IoU can take into account both the false alarms and the missing detections that is a ...
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A Survey on Sub Pixel Classification of High Resolution Satellite Imagery
... from Aerial Photographs or Satellite ...with high resolution image data ...coarse resolution data are used for classification, because a large volume of mixed pixels may ...spatial ...
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Delineating River Bottom Substrate using Very High-Resolution Digital Imagery derived from Large Scale Aerial Photography.
... Scanned resolution of the aerial photography resulted in ...pixel resolution. The aerial photography of each study site was acquired under low flow conditions when the power plants were not ...
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On the Use of Unmanned Aerial Systems for Environmental Monitoring
... Using high resolution UAV thermal imagery to assess the variability in the water status of. 865[r] ...
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Estimation of cotton yield with varied irrigation and nitrogen treatments using aerial multispectral imagery
... imaging resolution of 1920 (horizontal) × 1080 (vertical) pixels per sensor and a 114 degree diagonal angle of view when fitted with 14 mm, ...for high resolution color imaging and CIR for ...
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Intelligent High Resolution Satellite/Aerial Imagery
... Most of the building labels are cartographic signs now days. People who digitize at a GIS platform or web in- terface they have option for symbols for different features. One big example is OpenStreetMap platform. Carto- ...
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High spatial resolution and hyperspectral remote sensing for mapping vegetation species in tropical rainforest
... from high spatial resolution aerial photographs which are taken from film ...of high spatial resolution imagery from airborne and spaceborne multispectral sensors ...Infrared ...
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Upscaling CH4 Fluxes Using High-Resolution Imagery in Arctic Tundra Ecosystems
... m resolution of the WorldView-2 imagery was insufficient to capture this, therefore, the tussock tundra and moss-shrub community had to be ...a high classification accuracy to be ...as aerial ...
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EVALUATION OF HEIGHT ACCURACY FOR DIGITAL ELEVATION MODELS (DEMS) FROM HIGH RESOLUTION STEREO SATELLITE IMAGERY: (WV-3)
... by aerial cameras. All these techniques would give very high accurate DEM, but they are very much time consuming and labor ...space imagery techniques for capturing stereo images is the satellite ...
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Mapping of Mineral Zones using the Spectral Feature Fitting Method in Jahazpur belt, Rajasthan, India
... satellite imagery is having a high resolution which is more useful for the mineral identification and mapping and hence, capable to replacing the traditional techniques such as field-based approach ...
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Geo-Information Technology for Coastal Disaster Risk Reduction
... Three-dimensional models of urban buildings suitable for various applications such as urban planning, visualization, environmental studies and simulation (pollution, noise), tourism, facility management, real estate ...
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Combination of Post-Earthquake LiDAR Data and Satellite Imagery for Buildings Damage detection
... compared with the real ground damage map, which was manually collected using the post-event HRSI, and a/the confusion matrix was obtained. Table 3 illustrates the confusion matrix in three cases of 1) merely applying the ...
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Automated Building Extraction from High-Resolution Satellite Imagery in Urban Areas Using Structural, Contextual, and Spectral Information
... satellite imagery provides an important new data source for building ...1-meter resolution satellite imagery of urban ...satellite imagery of the City of Columbia, Missouri, is ...
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Integration of High-Resolution Satelite Imagery In Cost-Effective Assessment of Land Use Practices Influencing Erosion and Sediment Yield
... A post-classification assessment of change was performed between the 2002 and 2005 thematic maps. This was accomplished by simple map subtraction, resulting in a 49-cm resolution map of 36 possible classes (6 ...
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Image Enhancement and Feature Extraction Based on Low-Resolution Satellite Data
... with σ = 0.6 width/scaling factor; the control parameter C was set to 1 for all the vectors. The hyper-parameters were defined and optimized through cross-validation, using as test cases areas where BFs are available. As ...
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Fusion of VNIR and SWIR Bands of Sentinel 2A Imagery
... Gemine Vivone, Luciano Alparone, Jocelyn Chanussot, Mauro Dalla Mura, Andrea Garzelli, Giorgio A. Licciardi, Rocco Restaino and Lucien Wald [9] there are many pansharpening techniques which aims fusing of multispectral ...
5
Characteristic analysis of large-scale loess landslides: a case study in Baoji City of Loess Plateau of Northwest China
... very high-resolution optical-image ...geometric resolution and pro- vides data with high quality, at up to ...Quickbird imagery has been orthorectified and employed in the detailed ...
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