Please join BAE Systems Geospatial eXploitation Products™ (GXP®) at the 2023 SPIE Optics + Photonics for a special GXP presentation Maintaining original color when applying super-resolution to individual bands.
Maintaining original color when applying super-resolution to individual bands
Hosted by Dr. Bingcai Zhang
Date: Wednesday 23 August, 0830 PST
At BAE Systems GXP, we have developed a system that applies deep learning super-resolution (SR) to multispectral and hyperspectral satellite imagery in order to deduce higher resolution images from lower resolution images while maintaining the original color of the lower resolution pixels. A super-resolution model, which uses Deep Convolution Neural Networks (DCNNs), is trained using individual image bands, a large crop size or tile size of 512 x 512 pixels, and a de-noise algorithm.
Applying our algorithms to maintain the original color of the image bands improves the quality metrics of the super-resolution images as measured by peak signal-to-noise ratio (PSNR) and structural similarity index measure (SSIM) of super-resolution images. One of the most important applications of satellite imagery is the automatic detection of small objects such as vehicles and small boats. With super-resolution images generated by our system, the object detection accuracy (recall and precision) has improved by 20% with Planet® Labs multispectral satellite images.
Join leading researchers and scientists as they contribute to advancements in optical engineering, nanotechnology, quantum science, organic photonics, and astronomical instrumentation.
SPIE Optics + Photonics 2023
Date: 20-24 August 2023
Location: San Diego, CA
Event Homepage: SPIE 2023
