175 datasets found

The dataset contains a HS image of size 349×1905×144.

The dataset used in this study consists of multiple aerial and satellite datasets, including UAV, Airborne, and Satellite data.

The dataset used in this study consists of multiple aerial and satellite datasets, including UAV, Airborne, and Satellite data.

RSICD dataset (Lu et al.) contains remote sensing image captions.

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

The DSIFN-CD dataset is a collection of high-resolution images with seasonal changes in different cities.

The proposed SMDNet model is used for change detection in high-resolution remote sensing images.

BigEarthNet-S2 is a large-scale benchmark archive for remote sensing image classification and retrieval.

Remote-sensing image segmentation based on implicit 3-d scene representation

The Google Static Maps API dataset is used to obtain high-resolution daytime satellite images.

The WHU building dataset focuses on the changes in buildings and contains one pair of very high-resolution images sized 32507x15354 pixels with a spatial resolution of 0.075 m...

The CDD dataset is a collection of remote sensing images with seasonal changes and different lighting conditions.

The Sardinia dataset consists of bi-temporal SAR images, acquired by the RADARSAT at the area of Sardinia in September 1995 and July 1996, respectively.

The Yellow River dataset consists of bi-temporal SAR images, acquired by Radarsat-2 at the region of Yellow River Estuary in China in June 2008 and June 2009, respectively.

The Bern dataset consists of bi-temporal SAR images, acquired by the European Remote Sensing 2 satellite SAR sensor at the region of Bern, Switzerland, in April and May 1999,...

The Ottawa dataset consists of bi-temporal SAR images, acquired by the RADARSAT at the area of Ottawa in May 1997 and August 1997, respectively.

Change Detection (CD) is an important problem in remote sensing in which our goal is to identify relevant changes in bi-temporal remote sensing images that can help in various...

Remote-sensing (RS) Change Detection (CD) aims to de-tect “changes of interest” from co-registered bi-temporal images. The performance of existing deep supervised CD methods is...

iSAID dataset is a large-scale high-resolution remote sensing dataset for aerial instance segmentation, containing many small objects with complex backgrounds.

Sentinel-5P dataset containing total and tropospheric column measurements