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 ...
Third, we provide an in-depth case study, illustrating how deep learning with satellite imagery can solve a problem that has vexed the Environmental Protection Agency for decades: the identification of Concentrated Animal Feeding Operations (CAFO), which pose substantial environmental risk. Last, we ...
Deep Learning for Semantic Segmentation of Aerial and Satellite Imagery Share: Aerial and satellite imagery gives us the unique ability to look down and see the earth from above. It is being used to measure deforestation, map damaged areas after natural disasters, spot looted archaeological sites,...
Interesting deep learning projects https://www.azavea.com/projects/raster-vision/ An open source Python framework for building computer vision models on aerial, satellite, and other large imagery sets. Accessible through theRaster Foundry Example use cases on open data ...
Xception: Deep Learning with Depthwise Separable Convolutions, in: 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp. 1800–1807. Google Scholar 6 EUMESAT,. Satellite Application Facilities (SAFs). http://fs.fish.govt.nz/Page.aspx?pk=7&sc=SUR. Online; accessed ...
A deep learning framework for land-use/land-cover mapping and analysis using multispectral satellite imageryDeep learningLand useLand coverMapsClassificationDeep neural networksSatellite imagesIn this article, we present an approach to land-use and land-cover (LULC) mapping from multispectral satellite ...
This example uses: Computer Vision Toolbox Deep Learning Toolbox Mapping Toolbox Deep Learning Toolbox Model for ResNet-50 NetworkCopy Code Copy CommandThis example shows how to perform object detection on large satellite imagery using deep learning. ...
Accurate and comprehensive measurements of economic well-being are fundamental inputs into both research and policy, but such measures are unavailable at a local level in many parts of the world. Here we train deep learning models to predict survey-based
A systematic extraction of glacial lakes for satellite imagery using deep learning based technique A systematic extraction of glacial lakes for satellite imagery using deep learning based techniqueDeep learningGlacial lakesOutburst susceptibilitySatellite image... J Thati,S Ari - 《Measurement》 被引量:...
As part of the AI for Earth team, I work with our partners and other researchers inside Microsoft to develop new ways to use machine learning and other AI approaches to solve global environmental challenges. In this post, we highlight a sample project of