The Ancient Ruins Of Hyperspectral Data Information Extraction Method Research

Hyperspectral remote sensing has made the optical remote sensing enter in a new phase, compared with traditional remote sensing technology, it has such characteristics as vast data volume, large waveband numbers and combination of image and spectrum. Hyperspectral remote sensing has the advantage to identify weak information and quantitative detect of objects, which can help researchers to better extract the weak characteristics of the surface cultural relics from different environments and backgrounds. However, hyperspectral remote sensing has not yet been widely used in archaeological research. Digging the rich spectral information of the hyperspectral remote sensing data to aid in the ancient ruins, ancient archaeological exploration is still a area in the application of remote sensing archeology needing to explore and promote deeply.In this dissertation, we used the hyperspectral data acquired by airborne imaging spectrum instrument OMIS-II as data source, started from the characteristics of hyperspectral images, and took Qinshihuang’s mausoleum area as the experimentation area to analyze the method of the ancient ruins information extraction. The processing methods and spectral analysis techniques of hyperspectral image were applied to the terrain Classification and identification, linear feature extraction of Site Area, the focus on target identification and classification based on hyperspectral spectral matching, the extraction of object-oriented sites, and the research of linear feature based on the fusion image of hyperspectral and high resolution images.The main research conclusions and innovation points are summarized as follows:(1) The characteristics of hyperspectral images are analyzed to explore establishing the spectral database of ancient ruins in two ways. Due to many factors, for example, the differences between the spectra of the measured time and image acquisition time, measured spectrum cuves are not consistent with the cuves acquired from the image. In this study, we collected the profile spectral curves of different objectives to establish the ancient site spectral database, and then to identify and classify the features and ancient site in study area.(2) With this spectral database on the image as a reference, the methods of (Spectral Angle Mapping, SAM) and (Spectral Information Divergence,SID) were used to identify and classify the features, and the classification and recognition results were analyzed. Meanwhile, The Object-oriented hyperspectral remote sensing image analysis techniques are introduced to the extraction of remain targets, further enriching the target recognition and extraction technology system based on hyperspectral image.(3) The spatial characteristics related to the ancient ruins are detected by adopting the approaches of image fusion and edge detection, and then extract the linear features and texture framework characters of remains, promoting the Archaeological application in information extraction of high spectral fusion images.