IMPROVING SEMANTIC SEGMENTATION PERFORMANCE BY JOINTLY USING HIGH RESOLUTION REMOTE SENSING IMAGE AND NDSM
Semantic segmentation algorithms based on full convolutional neural network have greatly improved segmentation accuracy of high-resolution remote sensing (RS) images. However, the interpretation of RS images from single sensor is still challenging due to the variety and complexity of land objects, t...
| 发表在: | ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
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| Main Authors: | , , , , , |
| 格式: | 文件 |
| 语言: | 英语 |
| 出版: |
Copernicus Publications
2022-05-01
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| 在线阅读: | https://www.isprs-ann-photogramm-remote-sens-spatial-inf-sci.net/V-3-2022/77/2022/isprs-annals-V-3-2022-77-2022.pdf |