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European Space Imaging Awarded Supply Contract by European Commission

The Munich-based company has been awarded another major supply contract for VHR satellite data and services to support checks within the EU Common Agricultural Policy (CAP). European Space Imaging announced today that the company has signed a multi-year framework supply contract with the European Commission for the provision of very

European Space Imaging Celebrates 15 Years of Success

We are proud to announce our 15th year as the leading premium supplier to the remote sensing industry, offering the highest spatial resolution imagery currently commercially available. Established and operated in Munich, Germany, European Space Imaging began in 2002. The concept of a European based satellite imaging company was born

European Space Imaging Completes EU Commission Campaign in Record Time

European Space Imaging has successfully completed another year’s CwRS campaign in record time supplying almost cloud-free imagery well inside collection windows in keeping with their reputation for speedy delivery of high-quality data. European Space Imaging has been the most reliable data supplier to the European Commission in the Controls with

European Space Imaging Delivers 100% Success For CwRS 2015

European Space Imaging completed the 2015 Controls with Remote Sensing (CwRS) program for the European Commission (EC) with 100 % success rate. The Munich-based company collected and supplied very high resolution (VHR) satellite imagery over nearly half a million square kilometers and demonstrated again its capacity and reliability as Europe’s

European Space Imaging Delivers 100% Success Rate For European Commission

Speedy delivery and quality imagery mark European Space Imaging’s acquisitions for the 2017 CwRS CAP program. Early last week European Space Imaging finalized the collection of nearly half a million square kilometers of satellite imagery for the European Commission. This marks the completion of its VHR Image acquisition for the

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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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