2026-10-11T23:05:27Z https://www.scidb.cn/oai

10.57760/sciencedb.j00240.00141 2026-04-07T09:35:54Z

2026-04-07 AIRSAT-Bench: Optical-SAR Bimodal Remote Sensing Interpretation Benchmark Dataset doi:10.57760/sciencedb.j00240.00141 en The AIRSAT-Bench (Optical-SAR Bimodal Remote Sensing Interpretation Benchmark Dataset) is a large-scale, pixel-level optical-SAR bimodal coregistered dataset designed for intelligent geospatial feature extraction and related tasks, aimed at advancing research in multi-source remote sensing collaborative interpretation.Leveraging the AIRSAT constellation developed by CAS Satellite (Zhongke Weixing), the dataset encompasses both optical and SAR satellite modalities, covering a typical agricultural area in Laiwu, Shandong Province. The SAR imagery is acquired from two on-orbit satellites, AIRSAT-05 and AIRSAT-08. Specifically, AIRSAT-05 operates in X-band with single, dual, and full polarization imaging capabilities, achieving a best resolution better than 1 meter; AIRSAT-08 operates in X-band with dual polarization, also achieving a best resolution better than 1 meter. The optical imagery is sourced from the on-orbit AIRSAT-07 satellite, with a best resolution better than 1 meter.The data annotation pipeline employs a four-tier quality control mechanism comprising "AI pre-labeling, manual refinement, cross-validation, and expert final review," encompassing seven typical land cover categories: maize, wheat, greenhouses, roads, buildings, rivers and lakes, and ponds. The AIRSAT-Bench dataset provides both original wide-swath annotated imagery and annotated image patches at three scales (256×256, 512×512, and 1024×1024 pixels); the original wide-swath annotated imagery is distributed in GeoTIFF format. The dataset comprises a total of 83,665 valid image-annotation pairs, covering optical single-modal, SAR single-modal, and optical-SAR bimodal coregistered configurations. Researchers may select either the original wide-swath annotated imagery or patch data at the available scales according to specific task requirements. The AIRSAT-Bench dataset offers high-quality benchmark support for diverse remote sensing interpretation tasks, including semantic segmentation, bimodal coregistration, and change detection. Optical-SAR Dual-mode; AIRSAT; Multitasking interpretation chenjie Cao Yiche Pazilaiti Nurmaiti Guo Xianfei Yang Zhigao Zheng Wei Xiong Liu Peng Ke Wang Tianqi Chen Jiarong Wan Huiyao Zeng Hongcheng Yang Wei Chen Jie Li Yingsong Huang Zhixiang PUBLIC https://creativecommons.org/licenses/by-nc-nd/4.0/ dataset Science Data Bank