Our goal was to design a CNN to perform semantic segmentation and output crop classification maps using high-resolution remote sensing satellite images ... We used Python to convert the two data sets ...

Many applied problems arising in agricultural monitoring and food security require reliable crop maps at national or global scale. Large scale crop mapping requires processing and management of large ...

It is compiled using optical satellite ... images, noisy images and images with missing pixels Contains multiple python scripts for downloading the Sentinel-2 images for each point in the sample .csv ...

ACCoNet-> Adjacent Context Coordination Network for Salient Object Detection in Optical Remote Sensing Images MCCNet ... from OSM data. Features of the roofs were calculated using a combination of ...

and it is an essential data input for remote sensing and GIS analysts who perform crop classification using satellite images. Trained with more than half a million annotated datasets across different ...