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Launched in 2008, the GeoEye-1 satellite is equipped with some of the most advanced technology ever used in a commercial remote sensing system. Operating at an expected altitude of 681 km, GeoEye-1 provides 41 cm panchromatic resolution and 1.65 m multispectral resolution. Utilising GeoEye-1, European Space Imaging currently offer customers stereoscopic collection on a single pass (synoptic) collection ensuring continuity and consistency of image quality. COLLECTION CAPACITY Ability to image 350,000 km² daily with a 2.6 day revisit rate at 30˚ off-nadir or less ACCURACY 5 m CE90, 3 m CE90 (measured) CONTIGUOUS AREA COLLECTED Mono: 45 km x 112 km (3 strips) Stereo: 15 km x 112km (1 pair) www.euspaceimaging.com | Arnulfstrasse 199, 80634 Munich, Germany | T: +49 89 130 1420 DATA SHEET GeoEye-1 Specifications y Altitude: 681 km Orbit y Type: SunSync, 10:30 am descending node y Period: 98 minutes Dynamic Range 11-bits per pixel Swath Width At Nadir: 15.3 km Panochromatic Features 450 – 800 nm Sensor Bands y H  igh capacity in various collection modes 4 Multispectral Blue: 450 – 510 nm Green: 510 – 580 nm Red: 655 – 690 nm y O  ptimised and flexible collection planning Near IR: 780 – 920 nm Resolution Panochromatic Multispectral ONA* ONA* 0˚ ONA: 0.41 m 0˚ ONA: 1.65 m y D  irect downlink to German antenna for near real-time delivery * Off Nadir Angle (ONA) About European Space Imaging Based in Munich, Germany and established in 2002, European Space Imaging is the leading premium supplier of global very high resolution (VHR) satellite imagery and derived services to customers in Europe and North Africa. With almost 20 years’ experience, European Space Imaging has developed a reputation for expert and personalised customer service and an unbeatable track record for supplying tailored very high resolution imagery solutions to meet the diverse projects and requirements of their customers. Furthermore, European Space Imaging is the only European satellite data provider to supply imagery at true 30 cm resolution and who own and operate its own multi-mission ground station for direct satellite tasking and local data downlink. 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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