There are 1 repository under aerial-images topic.
Segmentation model using UNET architecture with ResNet34 as encoder background, designed with PyTorch.
Generated images from "Data Augmentation for Aerial Images" paper
Object Detection from Aierial Images with Different Approaches
The SODA Dataset is a computer vision dataset containing aerial imagery of small objects captured at different altitudes. The dataset contains 829 images and 6719 object annotations.
The primary objective of the project is to to develop an intelligent system that segments aerial images. In addition, exploratory data analysis, preprocessing of data, and thorough evaluation of experimental results are a few of the steps performed.
Road Segmentation Using Aerial Images
This repository contains MATLAB® functions for deriving supraglacial lake bathymetry from ATM laser altimetry data products
Segmentation of aerial images using two approaches: 1) texture features, 2) vegetation index
Contrast Enhancement of Aerial Images using a New Multi-Concept Algorithm
Multi-Phase Information Theory-Based Algorithm for Edge Detection
Select regions of interest (ROI) from large-area aerial oblique data to create a small dataset containing the ROI.