Satellite images show whales being held captive in Russia’s Srednyaya Bay amongst international outcries for the animals’ release.
Reports say that up to 100 whales are being illegally held in small pens near Nakhodka, Russia. The collection of both orcas (killer whales) and belugas are likely destined for marine parks in China, according to Greenpeace.
French marine scientist, Jean-Michel Cousteau plans to meet with Moscow officials to visit the site on Saturday.
A criminal investigation has been launched as four Russian companies are being accused of animal cruelty and violating fishing regulations.
Some animal experts are concerned that the whales may be showing signs of hypothermia as ice collects around and even inside the small pens. This can be clearly seen in the satellite images.
Very High Resolution imagery is being utilized internationally by both maritime surveillance agencies and animal rights groups to shed light on illicit fishing operations and aid in legal proceedings
Close up view of whale pens with several visible animals. Satellite Imagery © 2019 DigitalGlobe, A Maxar Company – provided by European Space Imaging
He went on to say, “In these images captured by WorldView-3 in late February, a number of whales can be seen inside the pins, which may provide crucial evidence as international criminal investigations move forward.”
Satellite image captured on 22 Feb. 2019 at 30 cm resolution showing at least ten whale pens in Srednyaya Bay Satellite Imagery © 2019 DigitalGlobe, A Maxar Company – provided by European Space Imaging
For more information on how satellite imagery aids in maritime surveillance activities, please visit our Maritime page.
Redefining low latency data, European Space Imaging (EUSI) offers Near Real-Time (NRT) satellite image delivery in only 15 minutes after collection. The new EUSI DAF
Redefining low latency data, European Space Imaging (EUSI) offers Near Real-Time (NRT) satellite image delivery in only 15 minutes after collection. The new EUSI DAF
Redefining low latency data, European Space Imaging (EUSI) offers Near Real-Time (NRT) satellite image delivery in only 15 minutes after collection. The new EUSI DAF
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.
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.
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.
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.