面向滨海湿地的全色/多光谱影像融合方法与应用分析——以杭州湾（1999~2018年）为例

影像融合在滨海湿地遥感监测中具有重要作用，然而滨海湿地区域多以水体、植物等为主，地物复杂多变，导致现有融合方法易产生光谱畸变且鲁棒性往往较差，难以满足滨海湿地的长时序动态监测需求。为此，提出基于空—谱质量评价的全色/多光谱影像融合方法SSQI_ PANSHARP，所提融合模型以融合影像的空—谱质量评价为导向，集成多种融合方法在空间增强和光谱保真方面的互补优势，满足滨海湿地长时序遥感监测对融合方法鲁棒性的需求。以杭州湾滨海湿地为研究区域，利用1999~2018年Landsat-7、Landsat-8卫星20年影像数据，从定性、定量以及滨海湿地典型地物光谱指数NDVI、NDWI等多方面，对提出方法进行充分验证，并在此基础上均匀抽取相近季度3期数据，对杭州湾滨海湿地近20年间土地覆盖类型，进行宏观长时序动态监测分析。研究结果表明，SSQI_PANSHARP方法在滨海湿地区域中的光谱保真度、空间结构信息增强效果表现较好，且鲁棒性强，适合于滨海湿地的长时序监测需求。监测结果显示，杭州湾南岸滨海湿地2010年后建筑用地比例上升，区域内池塘水田明显增加，农田绿地有所下降。

Panchromatic / Multispectral Image Fusion Method and Application Analysis for Coastal Wetland: A Case Study of Hangzhou Bay(1999-2018)

Image fusion plays an important role in the remote sensing monitoring of coastal wetlands. However， the coastal wetlands are mainly composed of water， plants and so on， which leads to spectral distortion， and poor robustness of existing fusion methods. Therefore， in order to meet the demand of robust panchromatic / multispectral image fusion method for coastal wetland remote sensing monitoring， we propose a panchromatic / multispectral image fusion method （SSQI_PANSHARP） based on spatial-spectral quality evaluation， to integrate the advantage of different fusion methods. In this study， Hangzhou Bay coastal wetland was taken as the research area. Based on the 20 year image data of Landsat-7 and Landsat-8 from 1999 to 2018， the proposed method was fully verified from qualitative and quantitative aspects， as well as NDVI and NDWI. On this basis， the data of three periods in the same quarter are extracted evenly， while the land cover types of Hangzhou Bay Coastal Wetland in recent 20 years were monitored and analyzed. The results show that the SSQI_PANSHARP method has better spectral fidelity， and spatial structure information enhancement effect in the coastal wetland area， and strong robustness， which is suitable for coastal wetland monitoring needs. In addition， long-term dynamic monitoring showed that the proportion of construction land increased after 2010， the pond paddy field increased significantly， and the farmland green space decreased.