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Deep learning remote sensing scene classification data set sorting
2022-04-22 09:36:00 【qq_ forty-one million six hundred and twenty-seven thousand six】
1、RSSCN7 DataSet Remote sensing image data sets ( be used for 5-10 Classification problem )
RSSCN7 The data set was collected by Qin zouyu of Wuhan University 2015 Released in , Related papers are 《Deep learning based feature selection for remotesensing scene classification》.
RSSCN7 Dataset contain 2800 A remote sensing image , These images come from 7 A typical scene category —— The grass 、 The forest 、 Farmland 、 The parking lot 、 residential district 、 Industrial areas and rivers and lakes , Each of these categories contains 400 Zhang image , Based on 4 Sampling at different scales .
The pixel size of each image in the dataset is 400*400, The diversity of scene images makes it more challenging , These images come from different seasons and weather changes , And sampling in different proportions .

Here are the details of the dataset :
RSSCN7 Dataset
Publishing Agency : Wuhan University
Release time :2015 year
Include quantity :
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