aerial-images
There are 1 repository under aerial-images topic.
jwwangchn / NWD
Official code for "A Normalized Gaussian Wasserstein Distance for Tiny Object Detection"
Language:Python 187- Language:Python 174
Official code for "Learning to Extract Building Footprints from Off-Nadir Aerial Images"
Language:Python 74- Language:Python 17
GohVh / resnet34-unet
Segmentation model using UNET architecture with ResNet34 as encoder background, designed with PyTorch.
Language:Python 4vivichiciudean / aerial-image-augmentation
Generated images from "Data Augmentation for Aerial Images" paper
demidovd98 / aerial_detection
Object Detection from Aierial Images with Different Approaches
Language:Python 3danielopisani / SODA-Dataset
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.
Language:Jupyter Notebook 2DimitrisReppas / semantic-segmentation_of_aerial_images
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.
Language:Jupyter Notebook 0- Language:Jupyter Notebook 0
ShumwayGordon / Air_Photo_Segmentation
Segmentation of aerial images using two approaches: 1) texture features, 2) vegetation index
Language:MATLAB 0qi-zohair / Improving-the-Contrast-of-Aerial-Images-using-a-New-Multi-concept-Algorithm
Contrast Enhancement of Aerial Images using a New Multi-Concept Algorithm
Language:MATLABMulti-Phase Information Theory-Based Algorithm for Edge Detection
Language:MATLABRefineM / roi_dataset_flow
Select regions of interest (ROI) from large-area aerial oblique data to create a small dataset containing the ROI.
Language:Python
