TL; DR: Synthetic Aperture Radar (SAR) is changing the way we look at our planet. With the growing interest in developing artificial intelligence (AI) algorithms for object recognition and classification, we are hearing from customers who would like to access SAR datasets to test and train algorithms. Rendered.ai is publicly releasing the capability to generate remote sensing imagery for rare object detection. To try it for yourself, sign up for the Rendered.ai platform and input the content code ‘SARDEMO’ or contact us at email@example.com
Synthetic Aperture Radar (SAR) is changing the way we look at our planet. By using radar waves to create detailed images of the Earth’s surface, SAR is helping us understand our environment better, monitor global changes, and even detect potential threats.
SAR sensors work by emitting their own energy, which is then used to illuminate objects or areas on the ground. By recording the reflection of this energy back from the surface to the sensor, SAR sensors can acquire images day and night without the need for sunlight. This unique advantage allows SAR sensors to provide valuable information about the structure, composition, and movement of objects on the ground or on the ocean for applications that require continuous monitoring or imaging in low-light or gray-sky conditions.
With the growing interest in developing artificial intelligence (AI) algorithms for object recognition and classification, we are hearing from customers who would like to access SAR datasets to test and train algorithms. However, real SAR datasets can be expensive and are not widely distributed outside the government.
Is there a more flexible option to get SAR data?
We’ve been expanding our customers’ access to diverse remote sensing domains on our platform for synthetic data generation. The Rendered.ai PaaS enables customers to generate physically accurate synthetic datasets to train and validate their artificial intelligence and machine learning models. We have released the capabilities of our SAR channel under the content code ‘SARDEMO’.
Our SAR channel allows for the generation of massive datasets on any platform that needs to be identified. Synthetic image generation lets users control down-range resolution, cross-range resolution, and aspect angle of the target. By simulating a wide range of vehicles, lighting conditions, and backgrounds, our SAR channel can provide a rich and varied dataset for training AI algorithms to recognize unique vehicles.
Get started generating your own synthetic aperture radar (SAR) images!
We have released the capabilities of the SAR channel under the content code ‘SARDEMO’.
- If you are new to the platform, first request access, and then input the content code on the registration page once you are sent a link.
- If you already have an account, you can enter this code in the field labeled ‘Content Code’ when setting up a new workspace.
- For more information on content codes, along with full platform documentation, follow this link.
If you’re interested in learning more about how synthetic data is used to improve the training and validation process in AI and ML models and/or you’d like a technical deep dive into our SAR channel:
- Contact us at firstname.lastname@example.org