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Edge Effect Correction in the S-A method for geochemical Anomaly Separation

journal of China university of geosciences 2004年第4期15卷 379-387页

作者： ge yong department of earth and atmospheric science, york university, toronto, on, m3j 1p3, canada State Key Laboratory of Resources and Environmental Information System, Institute of geographic sciences & Natural Resources Research, Chinese Academy of sciences, Beijing 100101, China Cheng Qiuming department of earth and atmospheric science, york university, toronto, on, m3j 1p3, canada earth Systems and mineral Resource Engineering Lab, China university of geosciences, Wuhan 430074, China Zhang Shenyuan department of earth and atmospheric science, york university, toronto, on, m3j 1p3, canada department of Resource and earth science, China university of mining & Technology, Beijing 100083, China department of earth and atmospheric science York University Toronto ON M3J 1P3 Canada State Key Laboratory of Resources and Environmental Information System Institute of Geographic Sciences & Natural Resources Research Chinese Academy of SciencesBeijing 100101China department of earth and atmospheric science York University Toronto ON M3J 1P3 Canada earth Systems and mineral Resource Engineering Lab China University of Geosciences Wuhan 430074 China department of earth and atmospheric science York University Toronto ON M3J 1P3 Canada department of Resource and earth science China University of Mining & Technology Beijing 100083 China

Anomaly separation using geochemical data often involves operations in the frequency domain, such as filtering and reducing noise/signal ratios. Unfortunately, the abrupt edge truncation of an image along edges and holes (with missing data) often causes frequency distribution distortion in the frequency domain. For example, bright strips are commonly seen in frequency distribution when using a Fourier transform. Such edge effect distortion may affect information extraction results; sometimes severely, depending on the edge abruptness of the image. Traditionally, edge effects are reduced by smoothing the image boundary prior to applying a Fourier transform. Zero-padding is one of the most commonly used smoothing methods. This simple method can reduce the edge effect to some degree but still distorts the image in some cases. moreover, due to the complexity of geoscience images, which can include irregular shapes and holes with missing data, zero-padding does not always give satisfactory results. This paper proposes the use of decay functions to handle edge effects when extracting information from geoscience images. As an application, this method has been used in a newly developed multifractal method (S-A) for separating geochemical anomalies from background patterns. A geochemical dataset chosen from a mineral district in Nova Scotia, canada was used to validate the method.

关键词： edge effect correction fractal modeling spatial information extraction zero-padding decay functions.

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multifractal filtering method for extraction of ocean eddies from remotely sensed imagery

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Acta Oceanologica Sinica 2006年第5期25卷 27-38页

作者： ge yong DU Yunyan CHENG Qiuming LI Ce State Key Laboratory of Resources and Environmental Information System Institute of Geographic Sciences ＆ Natural Re-sources Research Chinese Academy of Sciences Beijing 100101 China department of earth and Space science and Engineering York University Toronto M3J 1P3 Canada State Key Laboratory of geo-processes and mineral Resources China University of Geosciences Beijing 100083 China

Traditional methods of extracting the ocean wave eddy information from remotely sensed imagery mainly use the edge detection technology such as Canny and Hough operators. However, due to the complexities of ocean eddies and image itself, it is sometimes difficult to successfully detect ocean eddies using these methods. A mnltifractal filtering technology is proposed for extraction of ocean eddies and demonstrated using NASA mODIS, SeaWiFS and NOAA satellite data set in the typical area, such as ocean west boundary current. Results showed that the new method has a superior performance over the traditional methods.

关键词： remotely sensed imagery extraction of ocean eddies multifractal filtering

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