199 datasets found

Sentinel-2 imagery dataset for irrigation detection

Visual collection dataset for irrigation detection

Ground collection dataset for irrigation detection

The AI-TOD remote sensing dataset is used for detecting dense small objects in aerial images.

ZUERICROP is a dataset for crop mapping from image time series.

CropHarvest is a global dataset for crop-type classification.

EuroCrops is a pan-European dataset for time series crop type classification.

EUROCROPSML is an analysis-ready remote sensing machine learning dataset for time series crop type classification of agricultural parcels in Europe.

The dataset used in the paper is IASI Level 1 data, which is a high spectral resolution sounding data.

Hyperspectral remote sensing images have high dimensionality and a large number of channels with substantial redundancy between channels. The training data for classifying HSRS...

Remote Sensing Image Captioning Dataset (RSICD) and UCM-captions dataset for remote sensing image captioning

The CDD dataset contains 11 pairs of bi-temporal images obtained from Google Earth in different seasons with a spatial resolution ranging from 3 to 100 cm per pixel.

Change detection is a crucial but extremely challenging task in remote sensing image analysis, and much progress has been made with the rapid development of deep learning....

The TreeSatAI dataset used in this paper for multi-label tree species classification.

The dataset used in this paper for multi-label remote sensing image classification.

Sentinel-1 dataset used for SAR despeckling experiments

The AID dataset is a benchmark for scene classification in remote sensing. It contains aerial images with 30 scene types.

Change detection in high-resolution remote sensing images using a bitemporal image transformer (BIT)

The dataset used for the advection augmented convolutional neural networks.

This dataset consists of 1,088 simple styled map tiles and their corresponding target styled map tiles.