Flying areas analysis

For the analysis of flying areas, this subcategory employs SegNet to segment images, distinguishing between objects of interest and the background. Subsequently, it utilizes the method of Deeper Depth Prediction with Fully Convolutional Residual Networks to predict depth and applies it to aerial photographs. Finally, it combines deep learning with YOLOv2 to detect buildings from any angle, determining whether there are structures within the flight area. This method is then used for the analysis of flying areas.