satellite-image-deep-learning | Robin Cole | Substack

New discoveries #22

SatBird, Multi-Stage Semantic Segmentation Quantifies Fragmentation of Small Habitats at a Landscape Scale, Digital Typhoon Dataset & Ten deep learning…

Dec 5 •

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New discoveries #21

Canopy height prediction from Sentinel-2 images, SATIN & SAMRS datasets, and technical factors to consider when designing neural networks for semantic…

Nov 1 •

New discoveries #20

SatlasPretrain dataset, Data-Centric Land Cover Classification Challenge, Map-sat, How to deploy an ML model to Amazon SageMaker, From edge detection to…

Oct 3 •

1:41:43

Deep learning for 3D understanding of satellite images

Mikolaj hosts Dawa Derksen, Roger Marí, and Yujiao Shi to talk about using deep learning for 3D understanding of satellite images:

Sep 26 •

New discoveries #19

Prithvi-100M foundational model, HSAT, RapidAI4EO & Five-Billion-Pixel datasets, and SeaDroneSim2

Sep 6 •

31:19

Deep learning in Google Earth Engine with Jake Wilkins

The pros and cons of several approaches to deep learning with Earth Engine

Aug 30 •

31:24

PyRawS for onboard image processing with Roberto Del Prete

PyRaws is a powerful open source Python package that provides a comprehensive set of tools for working with Sentinel 2 raw imagery

Aug 15 •

New discoveries #18

TreeFormer, HSAT, Geo-Tiles for Semantic Segmentation, Ben-ge dataset, Global Precipitation Nowcasting, AI generated satellite images competition

Aug 11 •

A brief history of the satellite-image-deep-learning Github repository

A brief history of the popular satellite-image-deep-learning techniques repository, and why you should create something similar

Aug 10 •

19:58

Synthetic training data with Nathan Kundtz

How synthetic image data is used in training machine machine models

Jul 12 •

satellite-image-deep-learning

satellite-image-deep-learning

Newsletter on deep learning with satellite & aerial imagery

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