Recognition of urban water bodies using deep learning with multi-source and multi-temporal high spatial resolution remote sensing imagery

  Data from High Spatial Resolution Remote Sensing Imagery (HSRRSI) provides detailed information required for the recognition of surface water bodies, including the texture, geometric structure and spatial distribution of these liquid masses. The comprehensive information gathered means that the internal components of surface water bodies can be represented, and the relationship between adjacent objects are better reflected. In the […]

Read More…

Thank you for expressing interest in joining our mailing list and community. Below you can select how you’d like us to interact with you and we’ll keep you updated with our latest content.

You can change your preferences or unsubscribe by clicking the unsubscribe link in the footer of any email you receive from us, or by contacting us at at any time and if you have any questions about how we handle your data, please review our privacy agreement.

Would you like to learn more about our services?

We use MailChimp as our marketing automation platform. By clicking below to submit this form, you acknowledge that the information you provide will be transferred to MailChimp for processing in accordance with their Privacy Policy and Terms.

Subscribe to our FREE PUBLICATION