期刊简介
| 刊名： | 《影像与数据融合国际期刊》，简称国际期刊 |
| 英文： | International Journal of Image and Data Fusion |
| 创刊时间： | 2010年1月 |
| 主办： | 由中国测绘科学研究院主办、国际著名的Taylor&Francis（泰勒·弗朗西斯）出版集团出版，向全世界发行的全英文国际学术期刊。 |
| 内容： | 该刊以出版原创性研究论文为主，征稿范围包括：影像与数据融合的自动纠正/几何方面;像素级、特征级和决策级融合的算法与方法；多源影像分类和信息提取；航天、航空和地面传感器数据的整合；用于变化检测的多时相... |
| 期刊网站： | https://www.tandfonline.com/tidf |
| 投稿系统： | Submission Portal |
| 编辑部邮箱： | ijidf@casm.ac.cn |
论文引用推荐
Qin, H., & Li, Z. (2024). Building classification extraction from remote sensing images combining hyperpixel and maximum interclass variance. International Journal of Image and Data Fusion, 15(1), 110–127.
https://doi.org/10.1080/19479832.2023.2284783Sharma, K. V., Kumar, V., Khandelwal, S., & Kaul, N. (2023). Spatial enhancement of Landsat-9 land surface temperature imagery by Fourier transformation-based panchromatic fusion. International Journal of Image and Data Fusion, 15(1), 88–109.
https://doi.org/10.1080/19479832.2023.2293077Radwane Ghellab, A. M. (2024). Efficient image fusion method using improved Bi-dimensional Empirical Mode Decomposition. International Journal of Image and Data Fusion, 15(1), 44–72.
https://doi.org/10.1080/19479832.2024.2307605Ramakrishna, Y., & Agrawal, R. (2023). A variational driven optimization framework for pansharpening of multispectral images. International Journal of Image and Data Fusion, 15(1), 73–87.
https://doi.org/10.1080/19479832.2023.2283521Hammad, M. M., Mahmoud, T. A., Amein, A. S., & Ghoniemy, T. M. (2023). Satellite image fusion using cyclic spatio-spectral GAN model. International Journal of Image and Data Fusion, 15(1), 25–43.
https://doi.org/10.1080/19479832.2023.2284776Lu, D., & Jiang, X. (2024). A brief overview and perspective of using airborne Lidar data for forest biomass estimation. International Journal of Image and Data Fusion, 15(1), 1–24.
https://doi.org/10.1080/19479832.2024.2309615Kaur, A., Geetanjali, Singh, M., Mittal, A., Mittal, R., & Malik, V. (2024). Modified HDBSCAN based segmentation hyperspectral image segmentation for cotton crop classification. International Journal of Image and Data Fusion, 15(2), 232–256.
https://doi.org/10.1080/19479832.2024.2321887S., D., Beevi, S. Z., Kumarwad, L. L., & Poojitha, S. (2024). Namib Beetle Firefly Optimization enabled Densenet architecture for hyperspectral image segmentation and classification. International Journal of Image and Data Fusion, 15(2), 190–213.
https://doi.org/10.1080/19479832.2023.2284781Mohammad, R. R., Hagag, A., El-Dahshan, E. Sayed. A., Gaber, A. E., & Yahia, A. (2024). PolSAR image classification based on TCN deep learning: a case study of greater Cairo. International Journal of Image and Data Fusion, 15(2), 214–231.
https://doi.org/10.1080/19479832.2023.2299476Maddi, P., Sonnad, S., Hosamani, S., & Savadi, A. (2024). Novel fusion strategy for image fusion using rescue hunt optimization-based modified guidance model. International Journal of Image and Data Fusion, 15(2), 129–153.
https://doi.org/10.1080/19479832.2024.2330637Woreket, W., & Zeleke, G. A. (2024). Extracting Urban Built-up Areas from Optical and Radar Data Fusion using Machine Learning Algorithms. International Journal of Image and Data Fusion, 15(2), 154–173.
https://doi.org/10.1080/19479832.2024.2338736Belozerova, O. D. (2023). Enhancing WOFOST crop model with unscented Kalman filter assimilation of leaf area index. International Journal of Image and Data Fusion, 15(2), 174–189.
https://doi.org/10.1080/19479832.2023.2287037
