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3 results for “VENµS”
Natural color composites of VENµs images over South Col Glacier
<p>This datasets contain images of South Col Glacier obtained from VENµs platform from 27 Nov 2017 to 30 Oct 2020. The images are shown on a UTM45\WGS84 projection, and correspond to the band combination 7-4-3. The two stars show remarkable locations.</p>
MAJA look-up tables for Venµs satellite
<p>This archive contains the look-up tables used by MAJA atmospheric correction software, used to process Venµs satellite data. These look-up tables correspond to a continental model.</p> <p>V1.1 corrects for a bug in VE_TEST_GIP_L2DIRT_L_ALLSITES_00010_20000101_99991231.HDR, (Direct Transmission file) which contained references to Diffuse transmission files for bands 7 to 12.</p> <p>V1.2 corrects a typo in VE_TEST_GIP_L2ALBD_L_ALLSITES_00010_20000101_99991231.HDR</p> <p>V1.3 adds LUT for Copernicus Atmosphere aerosol types </p>
VENµS raw images for vessel detection
<p>The dataset utilized in this study comprises images capturing maritime vessels. It is a meticulously curated collection designed explicitly for training and assessing models focused on vessel detection and identification.</p> <p>The images within the dataset are sourced from satellite sensors, specifically the VENμS satellite imagery. VENμS offers multispectral data from visible to near-infrared bands, boasting high spatial resolution (5.3 meters at Nadir) for detailed vessel analysis. The dataset encompasses images taken on 12 spectral bands, facilitating the examination of the vessel detection model's performance under diverse spectral conditions. These images depict the port of Ashdod, one of Israel's primary cargo ports, from the beginning of 2018 to the conclusion of October 2020, totalling 284 multispectral images.</p> <p>For each multispectral image, three types of data are provided: raw data (non-coregistered multispectral image), coregistered images, and coregistered images with a mask (pixels set to zero) on the harbour to eliminate anchored vessels from the image. Coregistration involves each band's shift (X and Y) to the fifth band.</p> <p>Most vessels in the dataset are annotated with boundary boxes (upper-left position, height, and width) along with AIS data, including vessel type, length, width, and status. These annotations serve as ground truth labels for training and evaluating models focused on vessel detection and classification.</p> <p>Furthermore, the dataset incorporates samples showcasing variations in environmental conditions, such as diverse sea states, lighting conditions, wake complexities, and the presence of clouds. This variability comprehensively evaluates the model's generalization capability and robustness across various scenarios.</p> <p>Content:</p> <p>- ASH_L0_CoReg_xx.zip: coregistered raw images.</p> <p>- ASH_L0_CoReg_mask_xx.zip: coregistered raw images with a mask (pixels set to zero) on the harbour.</p> <p>- ASH_L0_OriginalBands_xx.zip: raw data images (non-coregistered multispectral image).</p> <p>- COCO_ASH_vessels_final_v02.json: boundary boxes (upper-left position, height, and width; wrt to the fifth band) and AIS data.</p> <p>- annots_12bands.zip: boundary boxes (upper-left position, height, and width for each band) and AIS data.</p> <p> </p>
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