As multispectral image resolution has increased, generating accurate segmentation of these images can pose a significant challenge. Furthermore, creating accurate labeled data requires hours of manual segmentation. One ...

Deep Learning tools have become very efficient in high-resolution image analysis compared to traditional classification models. One such example is the implementation of semantic segmentation using a Convolutional Neural ...

In scenarios when you have two sets of satellite images from distinct domains, CycleGAN provides image-to-image translation for automatic land-cover mapping. Style transfer and domain adaptation are two areas that heavily ...