航空学报2026，Vol.47Issue(10)：124-138,15.DOI:10.7527/S1000-6893.2025.32581
融合机载高光谱图像与星载合成孔径雷达影像的空天遥感多模态海面溢油探测
Multi-modal marine oil spill detection via airborne hyperspectral image and satellite-borne synthetic aperture radar image fusion in aerospace remote sensing
摘要
Abstract
As a sudden Marine pollution event,marine oil spills pose a serious threat to marine and coastal ecosys-tems as well as human safety.With the rapid development of aerospace technology,remote sensing platforms equipped with various sensors have become the key to obtain high-resolution and high-quality imagery of marine oil spills.Satellite-borne remote sensing platforms enable large-scale and real-time detection and monitoring of oil spills,while airborne platforms based on fixed-wing aircraft,Unmanned Aerial Vehicles(UAVs)and other equipment offer flexible and accurate on-site data acquisition,providing effective data support for the implementation of subsequent rel-evant emergency response measures.Considering that multi-modal remote sensing imagery can capture multi-dimensional features of targets and significantly improve detection accuracy and robustness,we propose a multi-modal semantic segmentation model for marine oil spill detection based on airborne Hyperspectral Image(HSI)data and satellite-borne Synthetic Aperture Radar(SAR)data.The model utilizes a 3D convolution module to extract spectral-spatial features from HSI data,serving as a supplement to SAR features.a Multi-modal Complement Atrous Spatial Pyramid Pooling(MCASPP)module is designed to extract SAR features at multi-scale and fuse the strengths of both modalities,mitigating the limitations of single-modality.By introducing directional gradient perception and coordinate attention,a Differential Localization Enhancement Module(DLEM)is constructed to enhance the perception ability of the model for the edge and small area of the oil spill.Experimental results on the Gulf of Mexico Database(GMD)demonstrate that the proposed model achieves 99.43%,99.41%and 99.47%in Kappa coefficient,mIoU(Mean In-tersection over Union)and F1 score,respectively,outperforming the selected comparison models.These results show the model's strong oil spill feature extraction and detection capabilities under the support of aerospace remote sensing information.The research results can provide technical support for the intelligent monitoring of the marine envi-ronment with the integration of the integrated space-air observation systems.关键词
海面溢油探测/多模态遥感数据/多模态优势互补/光谱空间特征/语义分割Key words
oil spill detection/multi-modal remote sensing data/multi-modal complementarity/spectral spatial fea-ture/semantic segmentation分类
航空航天引用本文复制引用
刘志洋,刘权威,张玉香,董燕妮..融合机载高光谱图像与星载合成孔径雷达影像的空天遥感多模态海面溢油探测[J].航空学报,2026,47(10):124-138,15.基金项目
国家自然科学基金(U2541203,62222116) National Natural Science Foundation of China(U2541203,62222116) （U2541203,62222116）
