NeRFOrtho: Orthographic Projection Images Generation based on Neural Radiance Fields
The application value of orthographic projection images is substantial, especially in the field of remote sensing for True Digital Orthophoto Map (TDOM) generation. Existing methods for orthographic projection image generation primarily involve geometric correction or explicit projection of photogra...
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| Format: | Article |
| Language: | English |
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Elsevier
2025-02-01
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| Series: | International Journal of Applied Earth Observations and Geoinformation |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S1569843225000251 |
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| author | Dongdong Yue Xinyi Liu Yi Wan Yongjun Zhang Maoteng Zheng Weiwei Fan Jiachen Zhong |
| author_facet | Dongdong Yue Xinyi Liu Yi Wan Yongjun Zhang Maoteng Zheng Weiwei Fan Jiachen Zhong |
| author_sort | Dongdong Yue |
| collection | DOAJ |
| description | The application value of orthographic projection images is substantial, especially in the field of remote sensing for True Digital Orthophoto Map (TDOM) generation. Existing methods for orthographic projection image generation primarily involve geometric correction or explicit projection of photogrammetric mesh models. However, the former suffers from projection differences and stitching lines, while the latter is plagued by poor model quality and high costs. This paper presents NeRFOrtho, a new method for generating orthographic projection images from neural radiance fields at arbitrary angles. By constructing Neural Radiance Fields from multi-view images with known viewpoints and positions, the projection method is altered to render orthographic projection images on a plane where projection rays are parallel to each other. In comparison to existing orthographic projection image generation methods, this approach produces orthographic projection images devoid of projection differences and distortions, while offering superior texture details and higher precision. We also show the applicative potential of the method when rendering TDOM and the texture of building façade. |
| format | Article |
| id | doaj-art-4daede7236f64045bf08a55c8fdaba10 |
| institution | OA Journals |
| issn | 1569-8432 |
| language | English |
| publishDate | 2025-02-01 |
| publisher | Elsevier |
| record_format | Article |
| series | International Journal of Applied Earth Observations and Geoinformation |
| spelling | doaj-art-4daede7236f64045bf08a55c8fdaba102025-08-20T02:15:33ZengElsevierInternational Journal of Applied Earth Observations and Geoinformation1569-84322025-02-0113610437810.1016/j.jag.2025.104378NeRFOrtho: Orthographic Projection Images Generation based on Neural Radiance FieldsDongdong Yue0Xinyi Liu1Yi Wan2Yongjun Zhang3Maoteng Zheng4Weiwei Fan5Jiachen Zhong6School of Remote Sensing and Information Engineering, Wuhan University, Wuhan, HB 430079, ChinaSchool of Remote Sensing and Information Engineering, Wuhan University, Wuhan, HB 430079, China; Corresponding authors.School of Remote Sensing and Information Engineering, Wuhan University, Wuhan, HB 430079, China; Corresponding authors.School of Remote Sensing and Information Engineering, Wuhan University, Wuhan, HB 430079, ChinaNational Engineering Research Center for Geographic Information System, China University of Geosciences (Wuhan), Wuhan, HB 430078 ChinaSchool of Remote Sensing and Information Engineering, Wuhan University, Wuhan, HB 430079, ChinaSchool of Remote Sensing and Information Engineering, Wuhan University, Wuhan, HB 430079, ChinaThe application value of orthographic projection images is substantial, especially in the field of remote sensing for True Digital Orthophoto Map (TDOM) generation. Existing methods for orthographic projection image generation primarily involve geometric correction or explicit projection of photogrammetric mesh models. However, the former suffers from projection differences and stitching lines, while the latter is plagued by poor model quality and high costs. This paper presents NeRFOrtho, a new method for generating orthographic projection images from neural radiance fields at arbitrary angles. By constructing Neural Radiance Fields from multi-view images with known viewpoints and positions, the projection method is altered to render orthographic projection images on a plane where projection rays are parallel to each other. In comparison to existing orthographic projection image generation methods, this approach produces orthographic projection images devoid of projection differences and distortions, while offering superior texture details and higher precision. We also show the applicative potential of the method when rendering TDOM and the texture of building façade.http://www.sciencedirect.com/science/article/pii/S1569843225000251Multi-view ImagesNeural Radiation FieldsOrthographic ProjectionTrue Orthophoto |
| spellingShingle | Dongdong Yue Xinyi Liu Yi Wan Yongjun Zhang Maoteng Zheng Weiwei Fan Jiachen Zhong NeRFOrtho: Orthographic Projection Images Generation based on Neural Radiance Fields International Journal of Applied Earth Observations and Geoinformation Multi-view Images Neural Radiation Fields Orthographic Projection True Orthophoto |
| title | NeRFOrtho: Orthographic Projection Images Generation based on Neural Radiance Fields |
| title_full | NeRFOrtho: Orthographic Projection Images Generation based on Neural Radiance Fields |
| title_fullStr | NeRFOrtho: Orthographic Projection Images Generation based on Neural Radiance Fields |
| title_full_unstemmed | NeRFOrtho: Orthographic Projection Images Generation based on Neural Radiance Fields |
| title_short | NeRFOrtho: Orthographic Projection Images Generation based on Neural Radiance Fields |
| title_sort | nerfortho orthographic projection images generation based on neural radiance fields |
| topic | Multi-view Images Neural Radiation Fields Orthographic Projection True Orthophoto |
| url | http://www.sciencedirect.com/science/article/pii/S1569843225000251 |
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