CN110569751B - 一种高分遥感影像建筑物提取方法 - Google Patents
一种高分遥感影像建筑物提取方法 Download PDFInfo
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V10/00—Arrangements for image or video recognition or understanding
- G06V10/20—Image preprocessing
- G06V10/26—Segmentation of patterns in the image field; Cutting or merging of image elements to establish the pattern region, e.g. clustering-based techniques; Detection of occlusion
- G06V10/267—Segmentation of patterns in the image field; Cutting or merging of image elements to establish the pattern region, e.g. clustering-based techniques; Detection of occlusion by performing operations on regions, e.g. growing, shrinking or watersheds
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Abstract
Description
方法\指标 | 总体精度(%) | 错检率(%) | 漏检率(%) | Kappa系数 |
评价标准 | 越大越好 | 越小越好 | 越小越好 | 越大越好 |
本发明方法 | 94.0% | 4.20% | 1.82% | 0.833 |
方法1 | 71.9% | 19.1% | 9.2% | 0.568 |
方法2 | 75.5% | 18.9% | 7.9% | 0.597 |
方法3 | 80.2% | 15.0% | 13.8% | 0.625 |
方法4 | 77.5% | 21.7% | 10.9% | 0.614 |
方法\指标 | 总体精度(%) | 错检率(%) | 漏检率(%) | Kappa系数 |
评价标准 | 越大越好 | 越小越好 | 越小越好 | 越大越好 |
本发明方法 | 91.4% | 6.07% | 4.33% | 0.820 |
方法1 | 75.1% | 15.7% | 19.8% | 0.668 |
方法2 | 78.8% | 11.9% | 12.6% | 0.702 |
方法3 | 75.5% | 17.8% | 15.9% | 0.678 |
方法4 | 81.2% | 13.9% | 10.9% | 0.722 |
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Families Citing this family (6)
Publication number | Priority date | Publication date | Assignee | Title |
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CN111339948B (zh) * | 2020-02-25 | 2022-02-01 | 武汉大学 | 一种高分辨率遥感影像新增建筑自动识别方法 |
CN112184718B (zh) * | 2020-08-21 | 2024-05-21 | 中国资源卫星应用中心 | 一种城市建筑物高分遥感影像自动提取的方法及装置 |
CN112052756B (zh) * | 2020-08-24 | 2023-08-01 | 南京信息工程大学 | 一种震后高分遥感影像震害建筑物检测方法 |
CN113191177A (zh) * | 2020-11-20 | 2021-07-30 | 北京林业大学 | 一种用于深度学习的松材线虫病遥感影像样本标注方法 |
CN112766106B (zh) * | 2021-01-08 | 2021-08-10 | 河海大学 | 一种遥感建筑物检测方法 |
CN113487634B (zh) * | 2021-06-11 | 2023-06-30 | 中国联合网络通信集团有限公司 | 关联建筑物高度与面积的方法及装置 |
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