Change Detection Method of Remote Sensing Buildings Based on Spatiotemporal Fusion and Multi-Feature Relationships Network

Xue Li; Dong Li; Jiandong Fang; Xueying Feng

doi:10.3788/AOS241759

Acta Optica Sinica, Volume. 45, Issue 12, 1228005(2025)

Change Detection Method of Remote Sensing Buildings Based on Spatiotemporal Fusion and Multi-Feature Relationships Network

Xue Li, Dong Li^*, Jiandong Fang, and Xueying Feng

Author Affiliations

School of Information Engineering, Inner Mongolia University of Technology, Hohhot 010080, Inner Mongolia , China

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Figures & Tables(12)

Fig. 1. Overview architecture of SFMRNet

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Fig. 2. Feature exchange based on shared residual networks

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Fig. 3. STM

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Fig. 4. MFA

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Fig. 5. Sample images from LEVIR-CD dataset

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Fig. 6. Sample images from WHU-CD dataset

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Fig. 7. Comparison of prediction results of SFMRNet with other methods on WHU-CD. (a)‒(g) Different scenes

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Fig. 8. Comparison of prediction results of SFMRNet with other methods on LEVIR-CD. (a)‒(g) Different scenes

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Table 1. Results of quantitative comparison of various methods applied on WHU-CD

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Table 1. Results of quantitative comparison of various methods applied on WHU-CD

Method	Pr /%	Rc /%	$F_{1}$ /%	IoU /%	OA /%
FC-EF	86.44	71.24	78.11	64.08	97.61
FC-Siam-Di	86.40	76.64	81.23	68.39	97.63
FC-Siam-Con	87.55	75.10	80.85	67.85	97.04
DTCDSCN	86.92	82.30	71.95	67.19	97.42
SNUNet	85.60	81.49	89.50	76.67	98.71
BIT	89.64	85.48	87.98	77.98	98.75
STANet	79.37	85.50	82.32	71.32	97.83
SFMRNet（ours）	91.54	89.80	90.32	81.54	99.05

Table 2. Results of quantitative comparison of various methods applied on LEVIR-CD

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Table 2. Results of quantitative comparison of various methods applied on LEVIR-CD

Method	Pr /%	Rc /%	$F_{1}$ /%	IoU /%	OA /%
FC-EF	86.91	80.17	83.40	71.53	98.39
FC-Siam-Di	89.53	83.31	86.31	75.92	98.67
FC-Siam-Con	91.99	76.77	83.69	71.96	98.49
DTCDSCN	88.53	86.83	87.67	78.05	98.77
SNUNet	89.18	87.17	88.16	78.83	98.82
BIT	91.54	89.37	89.31	80.68	98.92
STANet	85.86	87.69	86.77	77.63	98.87
SFMRNet（ours）	91.22	90.54	91.11	83.97	99.14

Table 3. SFMRNet ablation experiments on two datasets

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Table 3. SFMRNet ablation experiments on two datasets

Number	FEM	STM	MFA	LEVIR-CD		WHU-CD
Number	FEM	STM	MFA	$F_{1}$ /%	IoU /%	$F_{1}$ /%	IoU /%
1	×	×	×	83.29	71.37	77.65	63.58
2	√	×	×	85.53	75.21	80.54	67.55
3	×	√	×	84.71	73.00	78.94	67.36
4	×	×	√	87.01	77.59	84.34	72.91
5	√	×	√	88.01	78.59	87.62	77.42
6	×	√	√	88.32	80.09	87.81	78.88
7	√	√	×	87.94	78.48	86.94	75.47
8	√	√	√	91.11	83.97	90.32	81.54

Table 4. Performance and Complexity Comparison of Different Methods on LEVIR-CD Dataset

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Table 4. Performance and Complexity Comparison of Different Methods on LEVIR-CD Dataset

Method	Params /M	FLOPS /G	$F_{1}$ /%
FC-EF	3.57	1.35	83.40
FC-Sima-Diff	4.72	1.35	86.31
FC-Sima-Con	5.32	1.55	83.69
DTCDSCN	13.21	31.26	87.67
SNUNet	54.82	14.03	88.16
BIT	11.89	3.49	89.31
STANet	20.85	37.59	86.77
SFMRNet（ours）	12.72	12.23	91.11

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Xue Li, Dong Li, Jiandong Fang, Xueying Feng. Change Detection Method of Remote Sensing Buildings Based on Spatiotemporal Fusion and Multi-Feature Relationships Network[J]. Acta Optica Sinica, 2025, 45(12): 1228005

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Paper Information

Category: Remote Sensing and Sensors

Received: Nov. 15, 2024

Accepted: Jan. 2, 2025

Published Online: Jun. 13, 2025

The Author Email: Dong Li (lidong@imut.edu.cn)

DOI:10.3788/AOS241759

CSTR:32393.14.AOS241759

Topics

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