摘要
应用遥感影像数据融合理论,研究了光学遥感、热红外遥感、微波遥感卫星在地质学中的应用,论述了不同类型的遥感数据及其他地学数据在不同层次上的同一传感器多波段数据融合、不同SAR图像数据融合、HIS变换、遥感影像与地球物理、地质和航磁等数据的融合。结果表明,数据融合技术在突出地质特征信息方面具有能突出线性构造、断裂构造、地形地貌的优势。
With remote sensing imagery data merging theory, the application of optical remote sensing, thermal infrared remote sensing and microwave remote sensing satellite imagery in geology is studied. The multi-spectral data merging techniques, such as the fusion of the different types of remotely sensed data with other geo-data at the same remote sensor in different levels, the data merging of diverse SAR imagery data, HIS conversion, data merging of remotely sensed imagery with geophysical, geological, airborne electromagnetic data and so on, are analyzed. The results show that data merging technique has predominance to stand out linear structure, fault structure and landform characteristics in the aspect to extract geologic feature information.
出处
《地球科学与环境学报》
CAS
2005年第3期78-81,共4页
Journal of Earth Sciences and Environment
基金
国家973科技攻关项目(2003CB214600)
陕西省自然科学基金项目(2004D01)
关键词
多源遥感影像数据
数据融合
雷达遥感
特征提取
multi-homed remotely sensed imagery
data merging
radar remote sensing
feature extraction
