In this paper the application of image enhancement techniques to potential field data is briefly described and two improved enhancement methods are introduced. One method is derived from the histogram equalization tec...In this paper the application of image enhancement techniques to potential field data is briefly described and two improved enhancement methods are introduced. One method is derived from the histogram equalization technique and automatically determines the color spectra of geophysical maps. Colors can be properly distributed and visual effects and resolution can be enhanced by the method. The other method is based on the modified Radon transform and gradient calculation and is used to detect and enhance linear features in gravity and magnetic images. The method facilites the detection of line segments in the transform domain. Tests with synthetic images and real data show the methods to be effective in feature enhancement.展开更多
为了提高电力集控系统安全隐患数据处理的效果,提出一种基于来自变换器的双向编码器表示-双向长短期记忆网络-条件随机场(Bidirectional Encoder Representations from Transformers-Bidirectional Long Short Term Memory-Conditional ...为了提高电力集控系统安全隐患数据处理的效果,提出一种基于来自变换器的双向编码器表示-双向长短期记忆网络-条件随机场(Bidirectional Encoder Representations from Transformers-Bidirectional Long Short Term Memory-Conditional Random Fields,BERT-BiLSTM-CRF)的电力集控安全隐患数据处理方法。构建电力集控隐患数据检测模型,应用改进长短时记忆网络(Long Short Term Memory,LSTM)来构建电力集控安全隐患数据修复网络,实现电力集控安全隐患数据处理。实验结果表明,采用所提方法能够更好地完成电力集控安全隐患数据检测与修复,应用效果较好。展开更多
基金This work is supported by the research project (grant No. G20000467) of the Institute of Geology and Geophysics, CAS and bythe China Postdoctoral Science Foundation (No. 2004036083).
文摘In this paper the application of image enhancement techniques to potential field data is briefly described and two improved enhancement methods are introduced. One method is derived from the histogram equalization technique and automatically determines the color spectra of geophysical maps. Colors can be properly distributed and visual effects and resolution can be enhanced by the method. The other method is based on the modified Radon transform and gradient calculation and is used to detect and enhance linear features in gravity and magnetic images. The method facilites the detection of line segments in the transform domain. Tests with synthetic images and real data show the methods to be effective in feature enhancement.
文摘为了提高电力集控系统安全隐患数据处理的效果,提出一种基于来自变换器的双向编码器表示-双向长短期记忆网络-条件随机场(Bidirectional Encoder Representations from Transformers-Bidirectional Long Short Term Memory-Conditional Random Fields,BERT-BiLSTM-CRF)的电力集控安全隐患数据处理方法。构建电力集控隐患数据检测模型,应用改进长短时记忆网络(Long Short Term Memory,LSTM)来构建电力集控安全隐患数据修复网络,实现电力集控安全隐患数据处理。实验结果表明,采用所提方法能够更好地完成电力集控安全隐患数据检测与修复,应用效果较好。
