199 datasets found

Machine-learned 3D building vectorization from satellite imagery.

ALOS World 3D (AW3D) global DSM generation.

The use of machine learning for remote sensing has matured alongside an increase in the availability and resolution of satellite imagery, enabling advances in such tasks as land...

The use of machine learning for remote sensing has matured alongside an increase in the availability and resolution of satellite imagery, enabling advances in such tasks as land...

Fine-grained object recognition in remote sensing images is a challenging task. Objects have few texture features at high viewing distances, and thus it is hard to identify them.

The dataset used in this paper is a massive forestry dataset.

Two large publicly-available datasets for building segmentation: Inria and DeepGlobe (termed DG)

Hyperspectral images classification is a high technical remote sensing software. The purpose is to reproduce a thematic map. The HSI contains more than a hundred hyperspectral...

The dataset used in this paper is a combination of high-resolution daytime satellite images and deep learning models to evaluate the impact of anti-poverty programs.

PolSAR data from vegetation using subaperture decomposition approach

The dataset used in this paper for estimating predictive uncertainty in satellite precipitation interpolation with ensemble learning.

Infrared radiance modeling by optimal spectral sampling.

Remote sensing data from the Infrared Atmospheric Sounding Interferometer (IASI) used for surface dew point temperature estimation.

The dataset used in this paper is a hyperspectral dataset.

A dataset of pairs of RGB satellite images and their corresponding DEM images.

The MODIS 16-day composite NDVI products from 2001 to 2018 were used to test the proposed reconstruction method.

The dataset used for unsupervised image-to-image translation, consisting of a set of images from Google Maps.

The dataset used in the paper for domain adaptation for sustainable soil management using causal and contrastive constraint minimization.

Sentinel-2 Level-2A data is an open source 10-60 m/px spatial resolution satellite imagery product provided by the European Space Agency.

The Houston 2013 dataset is an urban area image taken by the CASI sensor in 2013.