8 datasets found

Improving wildfire severity classification of deep learning u-nets from satellite images.

The Satimage dataset is a dataset of 6435 examples with 36 attributes.

The Vaihingen dataset consists of 1440 scenes with a size of 250×250 pixels. Each scene is a colour-infrared (CIR) true orthophoto and a height grid (digital surface model; DSM)...

A large-scale dataset containing 1689 training, 202 validation, and 392 testing image pairs of rural areas around the world, with the size of 1024 × 1024 and spatial resolution...

A collection of 637 pairs of bi-temporal RS images. These images were obtained from Google Earth and are accompanied by over 31,333 annotated instances of changes.

UC Merced Land Use Dataset (Yang & Newsam, 2010) contains remote sensing satellite images of 21 classes, with 100 images in each class.

The dataset used for detecting the boundaries of water bodies for the autopilot module of a surface robot based on satellite images of the area using computer vision methods.

NWPU-RESISC45 dataset was collected from more than 100 countries and regions in the world, consists of 31,500 remote sensing images.