Geoscience and Remote Sensing
This is a accompanied supplement to the study. First, a short presentation is given from a study on fracture diagnosis using electrical logging. In this study, substandard fracture fillers had a negative impact on the signal results. It was one of the motivations for this study. Second, we give the detailed form of the formula for the electrical properties of the mixture and a link to the literature. Third, we give a simulation test using coal coke fracture fillers, which mainly considers the mechanical properties of coal coke.
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Dataset Description
This dataset, named MultiSense, is designed to enhance disaster response by providing comprehensive data from multiple sources. It comes in two versions: balanced and unbalanced. The dataset consists of five distinct classes, each representing different types of events or conditions:
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Syria Earthquake: This class includes imagery and video footage related to earthquake damage. The data captures the aftermath of seismic events, showcasing various degrees of destruction.
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243 Views
Designing practical algorithms for damage detection in satellite images requires a substantial and well-labeled dataset for training, validation, and testing. In this paper, we collect GAZADeepDav: a high-resolution PlanetScope satellite imagery dataset with 7264 tiles for no damage and 6196 tiles for damage . This work is delving into the steps of collecting the dataset, Geotagging and employing deep learning architectures to distinguish damage in war zones while also providing valuable insights for researchers undertaking similar tasks in real-world applications.
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223 Views
The "CloudPatch-7 Hyperspectral Dataset" comprises a manually curated collection of hyperspectral images, focused on pixel classification of atmospheric cloud classes. This labeled dataset features 380 patches, each a 50x50 pixel grid, derived from 28 larger, unlabeled parent images approximately 4402-by-1600 pixels in size. Captured using the Resonon PIKA XC2 camera, these images span 462 spectral bands from 400 to 1000 nm.
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499 Views
This dataset includes 30 hyperspectral cloud images captured during the Summer and Fall of 2022 at Auburn University at Montgomery, Alabama, USA (Latitude N, Longitude W) using aResonon Pika XC2 Hyperspectral Imaging Camera. Utilizing the Spectronon software, the images were recorded with integration times between 9.0-12.0 ms, a frame rate of approximately 45 Hz, and a scan rate of 0.93 degrees per second. The images are calibrated to give spectral radiance in microflicks at 462 spectral bands in the 400 – 1000 nm wavelength region with a spectral resolution of 1.9 nm.
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226 Views
This dataset comprises SRTM (Shuttle Radar Topography Mission) DEM (Digital Elevation Model) data covering the Indian terrain, with a resolution of 90KM x 90KM. These datasets are instrumental in terrain analysis, accurately depicting elevations above sea level. By offering detailed topographical information, they facilitate various applications including land use planning, infrastructure development, and environmental modeling.
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62 Views
This dataset contains results of the 60 GHz indoor sensing measurement campaign using a bistatic OFDM radar based on 5G-specified positioning reference signals (PRSs). The data can be used for testing end-to-end indoor millimeter-wave radio positioning as well as simultaneous localization and mapping (SLAM) algorithms, including channel parameter estimation. Beamformed PRS with dense angular sampling in transmission and reception allows efficient capture of line-of-sight (LoS) as well as multipath components.
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1711 Views
A method is proposed to reduce the electron density irregularity by injecting chemicals into the scintillation region and attaching electrons by chemical reaction with the background ionosphere. A physical model of ionospheric scintillation mitigation based on the release of electron density depletion chemicals is established. The evolution process of electron density irregularities reduction, plasma instability growth rate and beacon amplitude phase fluctuation before and after scintillation mitigation were simulated.
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202 Views
The code and data for "The ES-GNF method of unstructured tetrahedral mesh for fast inversion of gravity and magnetic data with undulating terrain". This dataset includes unstructured tetrahedral mesh establishment and corresponding kernel matrix calculation program, and has gravity and magnetic anomaly data and inversion results of the model test part in manuscript 'The ES-GNF method of unstructured tetrahedral mesh for fast inversion of gravity and magnetic data with undulating terrain'.
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42 Views