Two-Stage GPR Image Inversion Method Based on Multi-Scale Dilated Convolution and Hybrid Attention Gate
Ground penetrating radar (GPR) image inversion is of great significance for interpreting GPR data. In practical applications, the complexity and nonuniformity of underground structures bring noise and clutter interference, making GPR inversion problems more challenging. To address these issues, this...
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MDPI AG
2025-01-01
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| Series: | Remote Sensing |
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| Online Access: | https://www.mdpi.com/2072-4292/17/2/322 |
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| author | Mingze Wu Qinghua Liu Shan Ouyang |
| author_facet | Mingze Wu Qinghua Liu Shan Ouyang |
| author_sort | Mingze Wu |
| collection | DOAJ |
| description | Ground penetrating radar (GPR) image inversion is of great significance for interpreting GPR data. In practical applications, the complexity and nonuniformity of underground structures bring noise and clutter interference, making GPR inversion problems more challenging. To address these issues, this study proposes a two-stage GPR image inversion network called MHInvNet based on multi-scale dilated convolution (MSDC) and hybrid attention gate (HAG). This method first denoises the B-scan through the first network MHInvNet1, then combines the denoised B-scan from MHInvNet1 with the undenoised B-scan as input to the second network MHInvNet2 for inversion to reconstruct the distribution of the permittivity of underground targets. To further enhance network performance, the MSDC and HAG modules are simultaneously introduced to both networks. Experimental results from simulated and actual measurement data show that MHInvNet can accurately invert the position, shape, size, and permittivity of underground targets. A comparison with existing methods demonstrates the superior inversion performance of MHInvNet. |
| format | Article |
| id | doaj-art-ec40845018454499a05a34862a1fe398 |
| institution | Kabale University |
| issn | 2072-4292 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Remote Sensing |
| spelling | doaj-art-ec40845018454499a05a34862a1fe3982025-01-24T13:48:07ZengMDPI AGRemote Sensing2072-42922025-01-0117232210.3390/rs17020322Two-Stage GPR Image Inversion Method Based on Multi-Scale Dilated Convolution and Hybrid Attention GateMingze Wu0Qinghua Liu1Shan Ouyang2School of Information and Communication, Guilin University of Electronic Technology, Guilin 541004, ChinaSchool of Information and Communication, Guilin University of Electronic Technology, Guilin 541004, ChinaSchool of Information and Communication, Guilin University of Electronic Technology, Guilin 541004, ChinaGround penetrating radar (GPR) image inversion is of great significance for interpreting GPR data. In practical applications, the complexity and nonuniformity of underground structures bring noise and clutter interference, making GPR inversion problems more challenging. To address these issues, this study proposes a two-stage GPR image inversion network called MHInvNet based on multi-scale dilated convolution (MSDC) and hybrid attention gate (HAG). This method first denoises the B-scan through the first network MHInvNet1, then combines the denoised B-scan from MHInvNet1 with the undenoised B-scan as input to the second network MHInvNet2 for inversion to reconstruct the distribution of the permittivity of underground targets. To further enhance network performance, the MSDC and HAG modules are simultaneously introduced to both networks. Experimental results from simulated and actual measurement data show that MHInvNet can accurately invert the position, shape, size, and permittivity of underground targets. A comparison with existing methods demonstrates the superior inversion performance of MHInvNet.https://www.mdpi.com/2072-4292/17/2/322ground penetrating radarimage inversiondilated convolutionattention gate |
| spellingShingle | Mingze Wu Qinghua Liu Shan Ouyang Two-Stage GPR Image Inversion Method Based on Multi-Scale Dilated Convolution and Hybrid Attention Gate Remote Sensing ground penetrating radar image inversion dilated convolution attention gate |
| title | Two-Stage GPR Image Inversion Method Based on Multi-Scale Dilated Convolution and Hybrid Attention Gate |
| title_full | Two-Stage GPR Image Inversion Method Based on Multi-Scale Dilated Convolution and Hybrid Attention Gate |
| title_fullStr | Two-Stage GPR Image Inversion Method Based on Multi-Scale Dilated Convolution and Hybrid Attention Gate |
| title_full_unstemmed | Two-Stage GPR Image Inversion Method Based on Multi-Scale Dilated Convolution and Hybrid Attention Gate |
| title_short | Two-Stage GPR Image Inversion Method Based on Multi-Scale Dilated Convolution and Hybrid Attention Gate |
| title_sort | two stage gpr image inversion method based on multi scale dilated convolution and hybrid attention gate |
| topic | ground penetrating radar image inversion dilated convolution attention gate |
| url | https://www.mdpi.com/2072-4292/17/2/322 |
| work_keys_str_mv | AT mingzewu twostagegprimageinversionmethodbasedonmultiscaledilatedconvolutionandhybridattentiongate AT qinghualiu twostagegprimageinversionmethodbasedonmultiscaledilatedconvolutionandhybridattentiongate AT shanouyang twostagegprimageinversionmethodbasedonmultiscaledilatedconvolutionandhybridattentiongate |