Land Use and Land Cover Classification using a ResNet Deep Learning Architecture -> uses fastai and the EuroSAT dataset Vision Transformers Use Case: Satellite Image Classification without CNNs WaterNet -> a CNN that identifies water in satellite images Road-Network-Classification -> Road network ...
Annotation of datasets for deep learning applied to satellite and aerial imagery - satellite-image-deep-learning/annotation
Deep Regionlets: Blended Representation and Deep Learning for Generic Object Detection https://arxiv.org/abs/1811.11318 Grid R-CNN intro: SenseTime arxiv: https://arxiv.org/abs/1811.12030 Transferable Adversarial Attacks for Image and Video Object Detection https://arxiv.org/abs/1811.12641 Anch...
Satellite image deep learning 主要整理了深度学习技术在卫星图像领域中的应用知识。仓库中包含了图像分类与分割、在线分析工具、图像标注、图形可视化、地理信息系统等开源软件,相关技术教程、博客文章等内容。 github.com/robmarkcole/ 《一图胜千言》 由微软工程师 Tomomi 手绘并整理发布。该仓库包含了数据结构与算法...
magnet: Deep Learning Projects that Build Themselveshttp://magnet-dl.readthedocs.io/ opencv_transforms: OpenCV implementation of Torchvision's image augmentations fastai: The fast.ai deep learning library, lessons, and tutorials pytorch-dense-correspondence: Code for "Dense Object Nets: Learning Dense...
paysage: Unsupervised learning and generative models in python/pytorch. pyvarinf: Python package facilitating the use of Bayesian Deep Learning methods with Variational Inference for PyTorch. pyprob: A PyTorch-based library for probabilistic programming and inference compilation. ...
Interesting deep learning projects Techniques Image formats and catalogues State of the art Online platforms for Geo analysis Free online computing resources Production Useful references Datasets Warningsatellite image files can be LARGE, even a small data set may comprise 50 GB of imagery ...
This document primarily lists resources for performing deep learning (DL) on satellite imagery. To a lesser extent Machine learning (ML, e.g. random forests, stochastic gradient descent) are also discussed, as are classical image processing techniques....
DELTA(Deep Earth Learning, Tools, and Analysis) is a framework for deep learning on satellite imagery, based on Tensorflow. DELTA classifies large satellite images with neural networks, automatically handling tiling large imagery. DELTA is under active development by theNASA Ames Intelligent Robotics ...
In this work, we show that deep learning allows a computer to parse and classify objects in an image and can be used for automatical cartography from remote sensing data. Especially, we provide examples of deep fully convolutional networks that can be trained for semantic labeling for airborne ...