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搜索结果: 1-15 共查到Information Fusion相关记录18条 . 查询时间(0.125 秒)
音频深度伪造检测(ADD)旨在检测由语音合成(TTS),和语音转换(VC)等产生的假音频,近年来成为备受关注的一个新课题。传统工作读取单声道信号并直接分析伪影。最近,基于单耳到双耳转换的ADD方法越来越受到关注,因为双耳音频信号提供了一个独特而全面的语音感知视角。然而,来自两个声道的声学信息表现出差异和相似之处,这在以前的研究中没有被深入研究。
Three methods of fusing information from maximum liklihood and neural network methods for multispectral data classification are discussed in this paper. The purpose of the fusion is to ...
The focus of this paper is on the segmentation algorithm for the high resolution multispectral imagery to get regions which are roughly corresponding to land cover types. We propose the combination of...
Vegetation, as the comprehensive reflection of climate and other environmental elements, is closely related with climate changes.The article, on the basis of Holdridge life zone index method and the u...
With the advent of digital sensor, the requirement for new Photogrammetric software is urgent to quick object information extraction from high-resolution stereo pairs. This paper describes an effectiv...
India accounts for the world’s greatest concentration of coal fires which cause several devastating environmental effects. Only Jharia Coal Field (JCF) in Jharkhand (India) contains nearly half of su...
This study investigates the options of information mining to enhance interpretation of PS-InSAR results of land subsidence analysis. Persistent Scatterer (PS) Interferometric Synthetic Aperture Radar...
The introduction of laser-based photogrammetry in the surveying of Cultural Heritage provides an increasing volume of data, which requires multi-resolution approaches for analyzing and displaying th...
Three dimensional object extraction and recognition (OER) from LIDAR data has been an area of major interest in photogrammetry for quite a long time. However, most of the existing methods for automa...
In this paper we show the pre-processing and potential for environmental applications of very high resolution (VHR) satellite stereo imagery like these from WorldView-2 or Pleiades with ground sampli...
Classification of remote sensing imagery provides an inexpensive yet efficient approach to land cover mapping. In supervised image classification, training samples are collected through certain sampli...
To cope with the market demand dynamically, enterprise needs to obtain the production status of work in process real-timely, but the information of machining progress has feature of uncertainty and ca...
针对智能车辆导航中传感器信息的不确定性,结合BP神经网络和模糊神经网络分别对传感器信息进行了数据层与决策层的两层融合。采用BP神经网络对多超声波传感器信息进行数据层融合,以减少超声波测距传感器信息的不确定性,提高对障碍物距离探测的准确率;采用模糊神经网络融合障碍物距离信息和车体与标志线间偏差信息,实现智能车辆的导航决策控制,使之更适合系统的跟踪避障要求。该方法使智能车辆在跟踪与避障中具有较好的灵活...

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