173 datasets found

Remote sensing image segmentation is a critical research area within remote sensing image processing. Its primary objective is to divide remote sensing imagery into separate...

Accurate land cover information is crucial for a wide range of applications, including environmental monitoring and management, urban planning, and monitoring.

Land cover maps are a pivotal element in a wide range of Earth Observation (EO) applications. However, annotating large datasets to develop supervised systems for remote sensing...

The DIOR-RSVG dataset is a large-scale dataset containing 17,402 remote sensing images and 38,320 unique attribute descriptions.

The attribute-guided DIOR-IDD dataset is a combination of the DIOR-RSVG and DIOR-IDD datasets. The dataset includes 23,463 image-text pairs and is used to train the MGIMM model.

The Dubai-CC dataset documents the urban development of Dubai, a city located in a vast desert area near the sea.

The LEVIR-CC dataset is derived from a building change detection dataset comprising 637 very high-resolution (0.5 m/pixel) bitemporal images of size 1,024 × 1,024, acquired over...

The proposed Chg2Cap method is constructed by a CNN-based feature extractor that uses the pre-trained ResNet-101 as the backbone, an attentive encoder that consists of a...

A new multi-sensor dataset (Multi-View ˆIle-de-France) of aerial and satellite imagery over the ˆIle-de-France region, with BDORTHO and SPOT-6 images.

A new multi-sensor dataset (MSC-France) of aerial and satellite imagery over France, with three different sensors (Sentinel-2, Landsat-8, SPOT-6) and a subset with several...

A curated, large-scale, multivariate data set of historical wildfires aggregating nearly a decade of remote-sensing data across the United States.

DE-CD(3.3×) is a dataset for cross-resolution change detection.

SV-CD(8×) is a dataset for cross-resolution change detection.

LEVIR-CD(4×) is a dataset for cross-resolution change detection.

The dataset is used for training and validation of the segmentation networks.

The LESS dataset contains soil spectral reflectance data.

Aerial imagery dataset for remote sensing applications.

Footpath mapping, modeling, and analysis can provide important geospatial insights to many fields of study, including transport, health, environment and urban planning.

A dataset for bridge detection and identification in VHR RSIs, containing 500 images with 4,800 × 2,843 pixels.

A large-scale dataset for bridge detection in large-size VHR RSIs, containing 6,000 VHR RSIs with 59,737 bridges.