A Semantic Segmentation Method of Remote Sensing Image Based on Downsampling
A semantic segmentation and remote sensing image technology, applied in the field of remote sensing image semantic segmentation, can solve the problems of large amount of computation, many parameters, and low segmentation efficiency, and achieve the effect of improving segmentation accuracy
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[0026] The data set used in the present invention comes from "The Fifth AIClassification and Recognition Competition:Challenge of AI on SatelliteImaging.Accessed:Oct.10,2017.[Online].Available:http: / / www.datafountain.cn / comp etitions / 270 / details?tdsourcetag=spctimaiomsg.), the image does not involve the interference of atmospheric light, cloud images and other factors, and no further processing is required. This dataset is a high-resolution image of a certain area in southern China in 2015 Remote sensing images, each image has five labels, namely vegetation, water, road, building and other classes, where land, woodland and grassland are defined as vegetation. There are 6 images in the dataset with dimensions ranging from 4 000 × 2 000 to 8 000 × 8 000 high-resolution remote sensing images of different sizes. The present invention uses 4 of them as training images and 2 as test images.
[0027] see figure 1 , figure 2 , image 3 , the present invention discloses a feature ...
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