IEEE Transactions on Geoscience and Remote Sensing· 2016Q1
Convolutional Neural Networks for Large-Scale Remote-Sensing Image Classification
- 1,110citations
- Q1SCImago
- 2016year
Short summary
A novel end-to-end framework uses fully convolutional neural networks (CNNs) to directly generate pixelwise classification maps from satellite imagery, incorporating a multiscale neuron module for improved recognition and localization.
AI-generated from the title and abstract; the full text is not read.
TakeawaysIn the app
Key pointsIn the app
Ask the paperIn the app
The rest is in the Pofolia app
Takeaways, key points and questions to the paper; new summaries every day for your field. Free.
Sign in on the web to openField: Media Technology
Media TechnologyEngineering