199 datasets found

The Indian Pines 2010 dataset is a 2m resolution image taken over the Indian Pines test site in May 2010.

The Indian Pines 1992 dataset is a 20-m resolution image taken over the Indian Pines test site in June 1992.

The dataset contains MODIS multi-band images processed into a user-friendly framework.

The dataset contains cloud cover obtained from MODIS images and cloud coverage from ground-based sky cameras.

The ISPRS 2D semantic labeling benchmark (Vaihingen) dataset is used for evaluating the proposed method.

A crowdsourced dataset of aerial images with annotated solar photovoltaic arrays and installation metadata.

A crowdsourced dataset of aerial images with annotated solar photovoltaic arrays and installation metadata.

A large-scale benchmark archive for remote sensing image classification and retrieval.

The LoveDA dataset consists of 5,987 high-quality optical remote sensing images with a resolution of 0.3 meters per pixel.

The ISPRS Vaihingen dataset contains 33 high-quality images with topographical information, each with an average resolution of 2494×2064 pixels.

Four widely-used remote sensing datasets are considered for evaluating the efficacy of the proposed approach. Sample images of these datasets are provided in Fig. 5.

The dataset used for the detection and prediction of Harmful Algal Blooms (HABs) using machine learning techniques and remote sensing data.

The RESISC-45 dataset is a benchmark for remote sensing image classification.

The dataset used in this paper for automatic data registration of geostationary payloads for meteorological applications at ISRO.

PlanetScope data

Sentinel-2 data

The Zurich Summer dataset is a benchmark for semantic segmentation in remote sensing. It contains aerial images with 8 urban classes.

The UCM dataset is a benchmark for scene classification in remote sensing. It contains aerial images with 21 land-use classes.

The UAE-RS dataset is a benchmark for black-box adversarial attacks in remote sensing. It contains adversarial examples generated using the Mixup-Attack and Mixcut-Attack methods.

Potsdam-3 is a remote sensing dataset with 8550 images belonging to 3 classes.