In addition, possible errors due to the subjective interpretation of satellite images are also eliminated. The method is developed and used specifically to build a new dataset of Sentinel-2 images, denoted SNOWED; but is applicable to different satellite images with trivial modifications. The ...
This study focuses on detecting landslides from high-resolution optical satellite images using CNN-based methods, providing opportunities for recognizing latent landslides and updating large-scale landslide inventory with high accuracy and time efficiency. Considering the variety of landslides and complicated ...
The INRIA Aerial Image Labeling dataset is comprised of 360 RGB tiles of 5000×5000px with a spatial resolution of 30cm/px on 10 cities across the globe. Half of the cities are used for training and are associated to a public ground truth of building foo
This dataset comprises a total of 13,703 samples of multispectral satellite images captured across continents from 2021 to 2023 in various solar panel farms. The detailed metadata for this dataset is provided in the following table:DatasetPositive SampleNegative SampleSum 2023 US 706 969 1675 2022 ...
Satellite video object segmentation is capable on various applications such as specific events monitoring and outline moving details by continuously observing large areas. However, the small size of targets and appearance deformation make the Satellite video object segmentation more difficult, and the lack...
Qv was used to rank the level of validation of a dataset, against ground truth, users’ feedback, statistical data, satellite images or other sources. We ranked the validation level from high to low based on the presence of field observations, the number of sources used for validation, and...
Eddy detection based on SLA became feasible in the early 1990s with the concurrence of two satellite altimetry missions. A merged product of (at least) two missions provided high enough data resolution to enable the detection of mesoscale eddies. Over the past ten years, the number of studies ...
MLRSNet provides different perspectives of the world captured from satellites. That is, it is composed of high spatial resolution optical satellite images. MLRSNet contains 109,161 remote sensing images that are annotated into 46 categories, and the number of sample images in a category varies from...
This open source dataset consists of medium resolution (4.0m) satellite imagery mosaics, which includes 24 images (one per month) covering >100 unique geographies, and comprises >40,000 km2 of imagery and exhaustive polygon labels of building footprints therein, totaling over 11M individual ...
Further, the sensitivity of these methods to spectral bands used during training has not yet been examined. In a recent study, encoder-decoder ML models were used to perform dust segmentation for satellite images of dust storms on Mars20. However, more advanced, recently-developed ML models ...