{"repo":"satellite-image-deep-learning/techniques","free":true,"listed":false,"github":"https://github.com/satellite-image-deep-learning/techniques","clone":"git clone https://github.com/satellite-image-deep-learning/techniques.git","description":"Techniques for deep learning with satellite & aerial imagery","language":null,"stars":10233,"topics":["deep-learning","deep-neural-networks","satellite-imagery","pytorch","python","machine-learning","sentinel","satellite-images","dataset","remote-sensing"],"license":"Apache-2.0","category":"machine-learning","readme_excerpt":"👉 satellite-image-deep-learning.com 👈 Introduction Deep learning has revolutionized the analysis and interpretation of satellite and aerial imagery, addressing unique challenges such as vast image sizes and a wide array of object classes. This repository provides an exhaustive overview of deep learning techniques specifically tailored for satellite and aerial image processing. It covers a range of architectures, models, and algorithms suited for key tasks like classification, segmentation, and object detection. How to use this repository: use Command + F (Mac) or CTRL + F (Windows) to search this page for e.g. 'SAM' Techniques - Classification - Segmentation - Object detection - Regression - Cloud detection & removal - Change detection - Time series - Crop classification - Crop yield & vegetation forecasting - Generative networks - Autoencoders, dimensionality reduction, image embeddings & similarity search - Few & zero shot learning - Self-supervised, unsupervised & contrastive learning - SAR - Explainable Ai (XAI) - Large vision & language models (LLMs & LVMs) - Foundational models Classification The UC merced dataset is a well known classification dataset. Classification is a fundamental task in remote sensing data analysis, where the goal is to assign a semantic label to each image, such as 'urban', 'forest', 'agricultural land', etc. The process of assigning labels to an image is known as image-level classification. However, in some cases, a single image might contain ","default_branch":null,"files":null,"tree":[],"storefront":"/r/satellite-image-deep-learning","claimed":false,"request_supported":{"post":"https://gitbuyer.com/r/satellite-image-deep-learning/techniques/request-supported","requests":0},"note":"indexed from public GitHub; nothing is for sale on this page. Clone it from GitHub. Paid listings live at /search."}