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Maxars’s MGP Pro is the premier, cloud-based subscription platform for secure and timely access to Earth Intelligence. With a broad range of imagery and geospatial data products, MGP Pro provides unrivaled coverage, quality and flexibility. MGP Pro subscribers can access over 3 million square kilometers of daily image collections, plus more than 6 billion sq km of archived imagery at up to 30 cm resolution. DATA SHEET From Maxar Technologies Imagery access on your terms MGP Pro GLOBAL COVERAGE You define your areas of interest from our available global coverage including more than 6,000 world capitals and metropolitan areas in 30 cm resolution. PREMIUM IMAGERY Access the highest quality imagery in resolution, accuracy, and currency. View a highly aesthetic mosaic or see change over time with access to our historical archive. CLOUD ACCESS Search and download/stream the data you need, when you need it; easily share with others in your organisation or integrate into your existing workflow and applications. SUBSCRIPTION PRICING Available at multiple pricing levels based on data consumption or streaming seats Features & Benefits • Highest commercially available resolution; up to 30 cm and derived 15 cm HD • Global coverage • Image available within 48 hrs of acquisition • Key metadata included • Time-lapse archive for change detection • True color, orthorectified image strips and mosaics available for offline use • Refresh alerts for your area of interest • Persistent Change Monitoring (PCM) • Full MGP API access • Access to SWIR imagery and stereo pairs • Access via the GIS tool of your choice • No concurrent user restrictions • MGP APIs (including OGC) • Web browser interface • Esri ArcGIS, ArcGIS Pro • QGIS Specifications Maxar’s WorldView-4, 3, 2, 1, GeoEye-1, QuickBird, and enriched third-party sensor data 30-100 cm GSD pan sharpened at nadir Full access to Maxar stereo archive. Image pairs are delivered as System-ready (level 1B) with full metadata – Full-resolution viewing and rapid download imagery is panchromatic (WorldView-1) and 3-band pan sharpened natural color (all other sensors) – 8-band VNIR and SWIR multispectral products – Advanced (30 cm GSD) 3-5 m CE90 – Standard (30 cm GSD) 5 m CE90 ELECTRO-OPTICAL RESOLUTION API DISCOVERY & Full MGP API access to 125+ petabyte imagery archive ORDERING IMAGE BANDS STEREO IMAGERY MAXAR’S VIVID BASEMAPS – PCM Electro-optical – PCM Synthetic aperture radar PERSISTENT CHANGE MONITORING <10m CE90 for most hosted imagery SRTM 2 (30 m) where available AVAILABILITY Imagery is available within 48 hours of collection DIGITAL ELEVATION MODEL GEOSPATIAL ACCURACY Access • Active prevention of SQL-Injection, cross-site scripting, DoS and DDoS attacks • Web Application Firewall that performs deep inspection of all web traffic • HTTPS encryption of all communication between client and server • Multi-tiered firewall approach to ensure customer data protection • SFTP, Aspera and AWS S3 secure downloads are supported About European Space Imaging Since the launch of the first commercial VHR satellite, we at European Space Imaging have committed ourselves to providing much more than the world’s highest quality satellite imagery. We provide solutions. Utilising our multi-mission ground station at the German Aerospace Center, the team of geospatial experts at European Space Imaging are able to bring together unique partnerships, innovative techniques and tailored services to achieve results for any project. www.euspaceimaging.com | Arnulfstrasse 199, 80634 Munich, Germany | T: +49 89 130 1420

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Architecture of ResNet34-UNet model

UNet architecture for semantic segmentation with ResNet34 as encoder or feature extraction part. ResNet34 is used as an encoder or feature extractor in the contracting path and the corresponding symmetric expanding path predicts the dense segmentation output.

Architecture of VGG16-UNet model

UNet architecture for semantic segmentation with VGG16 as the encoder or feature extractor. VGG16 is used as an encoder or feature extractor in the contracting path and the corresponding symmetric expanding path predicts the dense segmentation output.

Architecture of ResNet34-FCN model

In this model, ResNet34 is used for feature extraction and the FCN operation remains as is. The feature of ResNet architecture is exploited where just like VGG, as the number of filters double, the feature map size gets halved. This gives a similarity to VGG and ResNet architecture while supporting deeper architecture and addressing the issue of vanishing gradients while also being faster. The fully connected layer at the output of ResNet34 is not used and instead converted to fully convolutional layer by means of 1×1 convolution.

Architecture of VGG16-FCN model

In this model, VGG16 is used for feature extraction which also performs the function of an encoder. The fully connected layer of the VGG16 is not used and instead converted to fully convolutional layer by means of 1×1 convolution.

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