机载快照多光谱与热红外多维光学吊舱设计与应用探索OA

A multidimensional optical pod integrating snapshot multispectral and thermal infrared imaging was designed and implemented to meet the demand for airborne remote sensing with multimodal coopera-tive detection.The system adopted a pixel-level mosaic filter-based snapshot multispectral imaging scheme.Through a dual-camera cooperative configuration,18 discrete visible-near-infrared spectral chan-nels were constructed,covering two spectral ranges of 480～600 nm and 650～800 nm.A 3×3 pixel-level mosaic sampling structure was employed.Under a 2×2 pixel binning strategy,the effective single-chan-nel spatial resolution reached 680×510,with an equivalent pixel size of 6.8 µm,enabling video-rate multi-spectral acquisition.A thermal infrared imaging payload was synchronously integrated to achieve simulta-neous multi-source data acquisition.For heterogeneous multimodal data,a processing framework combin-ing geometric registration,spectral feature augmentation,principal component analysis-based dimensional-ity reduction,and unsupervised K-means clustering was established.Thermal infrared information was fur-ther introduced into the principal component feature space to enhance land-cover separability.Experimen-tal results show that the center wavelengths of the multispectral channels agree well with the design val-ues,with bandwidths of approximately 2%of the center wavelengths.Radiometric calibration exhibits near-unity linear fitting coefficients,indicating stable and reliable system response.In representative appli-cations,the fusion of thermal infrared information effectively improves water boundary integrity,vegeta-tion detection statistics,and land-cover classification performance.The intersection-over-union(IoU)in-creases by 2.7%and 6.6%,and the Dice coefficient increases by 1.7%and 4.5%in two typical scenari-os.These results demonstrate that the proposed multimodal optical pod has strong potential for natural re-source surveys and ecological environment monitoring.