Joint distortion model for progressive image transmission using error correcting arithmetic codes

A novel joint source channel distortion model was proposed, which can essentially estimate the average distortion in progressive image transmission. To improve the precision of the model, the redundancy generated by a forbidden symbol in the arithmetic codes is used to distinguish the quantization distortion and the channel distortion, all the coefficients from the first error one to the end of the sequence are set to be a value within the variance range of the coefficients instead of zero, then the error propagation coming from the entropy coding can be essentially estimated, which is disregarded in the most conventional joint source channel coding （JSCC） systems. The precision of the model in terms of average peak-signal-to-noise has been improved about 0.5 dB compared to classical works. An efficient unequal error protection system based on the model is developed, and can be used in the wireless communication systems.     

A bintree energy approach for colour image segmentation using adaptive channel selection

A new hierarchical approach called bintree energy segmentation was presented for color image segmentation. The image features are extracted by adaptive clustering on multi-channel data at each level and used as the criteria to dynamically select the best chromatic channel, where the segmentation is carried out. In this approach, an extended direct energy computation method based on the Chan-Vese model was proposed to segment the selected channel, and the segmentation outputs are then fused with other channels into new images, from which a new channel with better features is selected for the second round segmentation. This procedure is repeated until the preset condition is met. Finally, a binary segmentation tree is formed, in which each leaf represents a class of objects with a distinctive color. To facilitate the data organization, image background is employed in segmentation and channels fusion. The bintree energy segmentation exploits color information involved in all channels data and tries to optimize the global segmentation result by choosing the ＂best＂ channel for segmentation at each level. The experiments show that the method is effective in speed, accuracy and flexibility.     

非接触式遥感路面状态检测预警系统研究与应用

为了实现道路路面状态检测和预警,自主开发了非接触式遥感路面状态检测预警系统。采用红外遥感和多光谱测量技术,以路面温度、空气湿度及水或冰或雪的厚度和透光率等参数为核心,对系统技术原理和算法、数据分析处理和控制及数据传输等关键技术进行了研究。通过水、冰及雪对3个波长光的不同吸光系数,确定了路面覆盖物的类型,计算了水、冰及雪的厚度。经多次现场测试数据验证,测试结果准确可靠,各项功能和性能满足实际要求。该系统已在中国多条高速公路中成功应用,为交管部门实施交通预警及疏导方案提供了数据依据,极大地提高了应对突发天气状况的及时性和准确性,有力保障了道路交通安全,取得了显著的安全效益和社会经济效益,具有广泛的推广应用前景。     

非接触式遥感路面状态检测预警系统研究与应用

恶劣的天气条件给道路交通行车安全带来了巨大的风险,为了实现道路路面状态检测和预警,对非接触式遥感路面状态检测预警系统进行了研究。以路面温度、潮湿系数、积水厚度、冰雪厚度、光透过率等参数为核心,采用多光谱测量技术对道路路面近距离遥测,通过对特定波长光的反射差异性来识别道路表面的水、冰、雪、霜、温度及能见度等状态;检测数据专业多样、精度高、实时、稳定可靠,为道路交通安全提供了实时预警信息服务。通过在国内多条高速公路上的成功应用,为交通管理部门提供了实时的科学决策依据,大大降低了交通安全事故率,有力保障了人民的生命财产,取得了显著的安全效益和社会经济效益,具有广泛的推广应用前景。     

多用户分布式虚拟海洋战场环境系统MUDVOE的实现技术

介绍创建一个多用户分布式虚拟海洋战场环境系统的相关理论和技术。该系统采用客户－服务器的通信模式和TCP传输协议实现了客户端和服务器端之间的通信，采用基于图形与图象混合建模和绘制技术实现了虚拟海洋战场环境构造。最后给出了该系统实现的软、硬件平台和实验结果。     

北同蒲铁路K195至K196地质病害遥感调查

通过遥感判释,结合地面重点验证,分析了北同蒲铁路K195+000至K196+000段发育的落石、岩堆及泥石流地质病害形成和发育的地质背景、变形特征以及对铁路的危害,并据此提出了工程整治方案的建议.     

铁路航测遥感的主要成就

铁路航测遥感技术的发展与应用经历了半个世纪的历程,从无到有,从摸索试验到大规模的推广应用,在铁路建设的各个阶段均取得了丰硕可喜的成果.     

大新高速公路光端机配置方案

主要介绍了高速公路机电工程中的视频图象传输设备的选型，最大限度地保证视频传输图象的保真、无延迟，使图象更清晰、更直观。     

中国铁路航测遥感50年

较详细的回顾了铁路航测遥感技术的发展经历,以及在铁路建设和运营各个阶段发挥的作用.     

数字罗盘在低空遥感平台的应用

介绍了利用数字罗盘测定三维姿态(航向、俯仰、横滚)的方法,并依据HMR3300数字罗盘仪提供的实时姿态信息,开发了低空遥感平台姿态和航向参考系统。将该系统与原有飞艇遥控系统集成,可以提高遥控导航的稳定性和遥感作业的精度质量。通过试验检验,该系统达到了设计目的,取得了良好的效果。