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Generating accurate thematic land use maps is importance in ecologically vulnerable regions, especially considering the challenges associated with extracting the forest-steppe ecotone and its associated uncertainties and high error rates. By employing the Principal Component Analysis (PCA) method to integrate Sentinel-1 and Sentinel-2 imagery, high-resolution (10 meters) land use cover products were generated for the forest-steppe ecotone of the Greater Khingan Mountains from 2019 to 2021.
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98 Views
The optical remote sensing (ORS) ship dataset contains eight ship classes (i.e., bulk carrier, car carrier, cargo, chemical tanker, container, dredge, oil tanker, tug) with a total of 8678 pictures. All pictures are collected using Google Earth with sub-meter resolution and corresponding class information are matched with the official website[http://www.marinetraffic.com/]
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263 Views
The presented dataset is a supplementary material to the paper [1] and it represents the X-Ray Energy Dispersive (EDS)/ Scanning Electron Microscopy (SEM) images of a shungite-mineral particle. Pansharpening is a procedure for enhancing the spatial resolution of a multispectral image, here the EDS individual bands, with a high-spatial panchromatic image, here the SEM image. Pansharpening techniques are usually tested with remote sensed data, but the procedures have been efficient in close-range MS-PAN pairs as well [3].
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392 Views
The FLoRI21 dataset provides ultra-widefield fluorescein angiography (UWF FA) images for the development and evaluation of retinal image registration algorithms. Images are included across five subjects. For each subject, there is one montage FA image that serves as the common reference image for registration and a set of two or more individual ("raw") FA images (taken over multiple clinic visits) that are target images for registration. Overall, these constitute 15 reference-target image pairs for image registration.
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710 Views
These simulated live cell microscopy sequences were generated by the CytoPacq web service https://cbia.fi.muni.cz/simulator [R1]. The dataset is composed of 51 2D sequences and 41 3D sequences. The 2D sequences are divided into distinct 44 training and 7 test sets. The 3D sequences are divided into distinct 34 training and 7 test sets. Each sequence contains up to 200 frames.
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258 Views
The dataset contains UAV imagery and fracture interpretation of rock outcrops acquired in Praia das Conchas, Cabo Frio, Rio de Janeiro, Brazil. Along with georeferenced .geotiff images, the dataset contains filtered 500 x 500 .png tiles containing only scenes with fracture data, along with .png binary masks for semantic segmentation and original georeferenced shapefile annotations. This data can be useful for segmentation and extraction of geological structures from UAV imagery, for evaluating computer vision methodologies or machine learning techniques.
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448 Views
This dataset is created for ocean front evolution trend recognition and tracking.
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151 Views
Without publicly available dataset, specifically in handwritten document recognition (HDR), we cannot make a fair and/or reliable comparison between the methods. Considering HDR, Indic script’s document recognition is still in its early stage compared to others such as Roman and Arabic. In this paper, we present a page-level handwritten document image dataset (PHDIndic_11), of 11 official Indic scripts: Bangla, Devanagari, Roman, Urdu, Oriya, Gurumukhi, Gujarati, Tamil, Telugu, Malayalam and Kannada.
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1075 Views
This multispectral remote sensing image data contained pixels of size (1024 x 1024) for the region around Kolkata city in India and was obtained with LISS-III sensor. There are four spectral bands, i.e., two from visible spectrum (green and red) and two from the infrared spectrum (near-infrared and shortwave infrared). The spatial resolution and spectral variation over the wavelength are 23.5m and 0.52 - 1.7 μm, respectively.
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1464 Views
This dataset was created from all Landsat-8 images from South America in the year 2018. More than 31 thousand images were processed (15 TB of data), and approximately on half of them active fire pixels were found. The Landsat-8 sensor has 30 meters of spatial resolution (1 panchromatic band of 15m), 16 bits of radiometric resolution and 16 days of temporal resolution (revisit). The images in our dataset are in TIFF (geotiff) format with 10 bands (excluding the 15m panchromatic band).
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4748 Views