Stitching and Geometric Modeling Approach Based on Multi-Slice Satellite Images
Time delay and integration (TDI) charge-coupled device (CCD) is an image sensor for capturing images of moving objects at low light levels. This study examines the model construction of stitched TDI CCD original multi-slice images. The traditional approaches, for example, include the image-space-ori...
| Main Authors: | , , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2021-11-01
|
| Series: | Remote Sensing |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2072-4292/13/22/4663 |
| _version_ | 1797508506985693184 |
|---|---|
| author | Longhui Wang Yan Zhang Tao Wang Yongsheng Zhang Zhenchao Zhang Ying Yu Lei Li |
| author_facet | Longhui Wang Yan Zhang Tao Wang Yongsheng Zhang Zhenchao Zhang Ying Yu Lei Li |
| author_sort | Longhui Wang |
| collection | DOAJ |
| description | Time delay and integration (TDI) charge-coupled device (CCD) is an image sensor for capturing images of moving objects at low light levels. This study examines the model construction of stitched TDI CCD original multi-slice images. The traditional approaches, for example, include the image-space-oriented algorithm and the object-space-oriented algorithm. The former indicates concise principles and high efficiency, whereas the panoramic stitching images lack the clear geometric relationships generated from the image-space-oriented algorithm. Similarly, even though the object-space-oriented algorithm generates an image with a clear geometric relationship, it is time-consuming due to the complicated and intensive computational demands. In this study, we developed a multi-slice satellite images stitching and geometric model construction method. The method consists of three major steps. First, the high-precision reference data assist in block adjustment and obtain the original slice image bias-corrected RFM to perform multi-slice image block adjustment. The second process generates the panoramic stitching image by establishing the image coordinate conversion relationship from the panoramic stitching image to the original multi-slice images. The final step is dividing the panoramic stitching image uniformly into image grids and employing the established image coordinate conversion relationship and the original multi-slice image bias-corrected RFM to generate a virtual control grid to construct the panoramic stitching image RFM. To evaluate the performance, we conducted experiments using the Tianhui-1(TH-1) high-resolution image and the Ziyuan-3(ZY-3) triple liner-array image data. The experimental results show that, compared with the object-space-oriented algorithm, the stitching accuracy loss of the generated panoramic stitching image was only 0.2 pixels and that the mean value was 0.799798 pixels, achieving the sub-pixel stitching requirements. Compared with the object-space-oriented algorithm, the RFM positioning difference of the panoramic stitching image was within 0.3 m, which achieves equal positioning accuracy. |
| first_indexed | 2024-03-10T05:05:54Z |
| format | Article |
| id | doaj.art-49b7cb16640c47a6805054d28c130d3c |
| institution | Directory Open Access Journal |
| issn | 2072-4292 |
| language | English |
| last_indexed | 2024-03-10T05:05:54Z |
| publishDate | 2021-11-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Remote Sensing |
| spelling | doaj.art-49b7cb16640c47a6805054d28c130d3c2023-11-23T01:21:12ZengMDPI AGRemote Sensing2072-42922021-11-011322466310.3390/rs13224663Stitching and Geometric Modeling Approach Based on Multi-Slice Satellite ImagesLonghui Wang0Yan Zhang1Tao Wang2Yongsheng Zhang3Zhenchao Zhang4Ying Yu5Lei Li6Geospatial Information Institute, Information Engineering University, Zhengzhou 450001, ChinaGeospatial Information Institute, Information Engineering University, Zhengzhou 450001, ChinaGeospatial Information Institute, Information Engineering University, Zhengzhou 450001, ChinaGeospatial Information Institute, Information Engineering University, Zhengzhou 450001, ChinaDepartment of Earth Observation Science, Faculty ITC, University of Twente, 7511 AE Enschede, The NetherlandsGeospatial Information Institute, Information Engineering University, Zhengzhou 450001, ChinaGeospatial Information Institute, Information Engineering University, Zhengzhou 450001, ChinaTime delay and integration (TDI) charge-coupled device (CCD) is an image sensor for capturing images of moving objects at low light levels. This study examines the model construction of stitched TDI CCD original multi-slice images. The traditional approaches, for example, include the image-space-oriented algorithm and the object-space-oriented algorithm. The former indicates concise principles and high efficiency, whereas the panoramic stitching images lack the clear geometric relationships generated from the image-space-oriented algorithm. Similarly, even though the object-space-oriented algorithm generates an image with a clear geometric relationship, it is time-consuming due to the complicated and intensive computational demands. In this study, we developed a multi-slice satellite images stitching and geometric model construction method. The method consists of three major steps. First, the high-precision reference data assist in block adjustment and obtain the original slice image bias-corrected RFM to perform multi-slice image block adjustment. The second process generates the panoramic stitching image by establishing the image coordinate conversion relationship from the panoramic stitching image to the original multi-slice images. The final step is dividing the panoramic stitching image uniformly into image grids and employing the established image coordinate conversion relationship and the original multi-slice image bias-corrected RFM to generate a virtual control grid to construct the panoramic stitching image RFM. To evaluate the performance, we conducted experiments using the Tianhui-1(TH-1) high-resolution image and the Ziyuan-3(ZY-3) triple liner-array image data. The experimental results show that, compared with the object-space-oriented algorithm, the stitching accuracy loss of the generated panoramic stitching image was only 0.2 pixels and that the mean value was 0.799798 pixels, achieving the sub-pixel stitching requirements. Compared with the object-space-oriented algorithm, the RFM positioning difference of the panoramic stitching image was within 0.3 m, which achieves equal positioning accuracy.https://www.mdpi.com/2072-4292/13/22/4663panoramic stitching imageblock adjustmentpiecewise affine transformation modelRFMTH-1ZY-3 |
| spellingShingle | Longhui Wang Yan Zhang Tao Wang Yongsheng Zhang Zhenchao Zhang Ying Yu Lei Li Stitching and Geometric Modeling Approach Based on Multi-Slice Satellite Images Remote Sensing panoramic stitching image block adjustment piecewise affine transformation model RFM TH-1 ZY-3 |
| title | Stitching and Geometric Modeling Approach Based on Multi-Slice Satellite Images |
| title_full | Stitching and Geometric Modeling Approach Based on Multi-Slice Satellite Images |
| title_fullStr | Stitching and Geometric Modeling Approach Based on Multi-Slice Satellite Images |
| title_full_unstemmed | Stitching and Geometric Modeling Approach Based on Multi-Slice Satellite Images |
| title_short | Stitching and Geometric Modeling Approach Based on Multi-Slice Satellite Images |
| title_sort | stitching and geometric modeling approach based on multi slice satellite images |
| topic | panoramic stitching image block adjustment piecewise affine transformation model RFM TH-1 ZY-3 |
| url | https://www.mdpi.com/2072-4292/13/22/4663 |
| work_keys_str_mv | AT longhuiwang stitchingandgeometricmodelingapproachbasedonmultislicesatelliteimages AT yanzhang stitchingandgeometricmodelingapproachbasedonmultislicesatelliteimages AT taowang stitchingandgeometricmodelingapproachbasedonmultislicesatelliteimages AT yongshengzhang stitchingandgeometricmodelingapproachbasedonmultislicesatelliteimages AT zhenchaozhang stitchingandgeometricmodelingapproachbasedonmultislicesatelliteimages AT yingyu stitchingandgeometricmodelingapproachbasedonmultislicesatelliteimages AT leili stitchingandgeometricmodelingapproachbasedonmultislicesatelliteimages |