AI Agent Skills

Sample scripts and notebooks on processing satellite imagery Python Geospatial raster

This repository provides a comprehensive list of radar and optical satellite datasets curated for ship detection, classification, semantic segmentation, and instance seg…

Implementation of Machine Learning and Deep Learning techniques to find insights from the satellite data.

Techniques for deep learning with satellite & aerial imagery

Semantic segmentation on aerial and satellite imagery. Extracts features such as: buildings, parking lots, roads, water, clouds

Interactive interface for browsing global, full-resolution satellite imagery

Skyfall-GS: Synthesizing Immersive 3D Urban Scenes from Satellite Imagery

Data Preparation for Satellite Machine Learning

Satellite Image Classification using semantic segmentation methods in deep learning

PyTorch implementation of U-TAE and PaPs for satellite image time series panoptic segmentation.

Project to train/test convolutional neural networks to extract buildings from SpaceNet satellite imageries.

An open source library and framework for deep learning on satellite and aerial imagery.

Communications-domain literature review with Claude-style knowledge-base-first retrieval. Use when the task is about communications, wireless, networking, satellite/NTN,…

Global shoreline mapping tool from satellite imagery

SAS.Planet is a free, open-source Geographic Information System (GIS) software designed for viewing, downloading, and managing high-resolution satellite imagery and conv…

AiTLAS implements state-of-the-art AI methods for exploratory and predictive analysis of satellite images.