Remote Sensing Technology and Application, Volume. 39, Issue 5, 1249(2024)
Comparison of the Deep Learning Algorithms for Detecting Circular Ancient Tombs
Figures & Tables(9)
Fig. 1. Study area （The collection area of self-built dataset-Altai region （except the area covered by images A， B and C）， test area for satellite images–A， B and C
Table 1.
Comparison of evaluation indexes of different algorithms View tableView in ArticleTable 1.
Comparison of evaluation indexes of different algorithms 算法名称 AP FPS/(frame·s-1) Faster R-CNN 0.63 17.54 Cascade R-CNN 0.78 19.25 YOLOv5 0.81 74.23 YOLOv7 0.87 85.79
Table 2.
Comparison of detection results by different algorithms on WorldView2/3 images View tableView in ArticleTable 2.
Comparison of detection results by different algorithms on WorldView2/3 images 算法名称 TP FP FN Precision Recall Faster R-CNN 30 19 21 0.61 0.59 Cascade R-CNN 36 12 15 0.75 0.71 YOLOv5 39 11 12 0.78 0.76 YOLOv7 42 7 9 0.86 0.82
Table 3.
Comparison of detection results on WorldView2 and GF2 images in the same region View tableView in ArticleTable 3.
Comparison of detection results on WorldView2 and GF2 images in the same region 算法名称 TP FP FN Precision Recall WorldView2 GF2 WorldView2 GF2 WorldView2 GF2 WorldView2 GF2 WorldView2 GF2 Faster R-CNN 11 10 6 8 7 8 0.65 0.56 0.61 0.56 Cascade R-CNN 13 11 4 5 5 7 0.76 0.69 0.72 0.61 YOLOv5 13 13 3 4 5 5 0.81 0.76 0.72 0.72 YOLOv7 15 14 2 2 3 4 0.88 0.88 0.83 0.78
Table 4.
Comparison of the method in this paper with other cases of tomb detection View tableView in ArticleTable 4.
Comparison of the method in this paper with other cases of tomb detection 应用场景 检测目标 模型 Precision Recall AP 参考 欧亚草原 墓葬 CNN 1.00 0.84 - Caspari等(2019) 阿尔泰山脉俄罗斯部分区域 墓葬 Cascade R-CNN 0.30 0.60 0.52 Chen等(2021) 加利比亚地区 墓葬 YOLOv3 0.97 0.64 0.68 Berganzo-Besga等(2021) 荷兰中部地区 墓葬、炭窑和田地 Faster R-CNN 0.90 0.71 0.79 Verschoof-van der Vaart等(2021) 新疆阿勒泰地区 墓葬 YOLOv7 0.91 0.93 0.87 本文方法
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Mingai TIAN, Lijun YU, Tingchen JIANG, Jianfeng ZHU, Danlu CAI, Siyi HUANG, Yuanzhi ZHANG, Yueping NIE, Hui WANG. Comparison of the Deep Learning Algorithms for Detecting Circular Ancient Tombs[J]. Remote Sensing Technology and Application, 2024, 39(5): 1249
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Received: Feb. 13, 2023
Accepted: --
Published Online: Jan. 7, 2025
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