多源数据融合技术及其在地质矿产调查中应用

针对地质矿产调查的特点,介绍了多源数据融合技术的概念、基本方法,总结归纳了其在地质矿产调查中工作流程、实施步骤、注意事项,分析了多源数据融合技术在地质矿产调查中的应用意义。结合新疆黑山岭东南一带1：50000区域地质矿产调查项目,采用多源数据融合技术,在构造信息和矿化蚀变信息提取中,对遥感图像数据和地质、地球物理、地球化学数据进行了融合处理和叠合显示,取得了较好的地质效果。     

高分辨率遥感影像在岩墙地质体信息提取中的应用

高分辨率遥感影像可明显表现地物的几何结构和纹理特征,从而使得在较小空间尺度上观察地物细节变化、进行大比例尺遥感制图成为可能。利用高分辨率QuickBird遥感影像,对新疆巴楚县麻扎尔塔格山地区的岩墙进行计算机辅助地质解译,共获得1227条岩墙。结合GIS空间分析方法获得了解译岩墙长度、走向分布等特征。结果表明:该地区76%的解译岩墙走向为NNW(135°~180°);QuickBird能够满足1∶2.5万地质调查的要求;通过地质分析综合解译结果获得了麻扎尔塔格岩体内部存在发育岩墙、岩墙形成应晚于内部的正长岩体的新认识。探讨并验证了高分辨率遥感影像在中小规模地质体解译中的可行性和有效性。     

吉林省西部土地沙化动态变化

吉林省西部沙地位于中国温带半湿润与半干旱的过渡地带 ,是生态环境变化的敏感地区。采用多时相、多波段TM影像 ,结合实地考察 ,建立沙区生态环境地理信息系统 ;选取植被退化状态、风蚀强度和土层厚度为沙化程度评价的综合指标 ,在GIS平台支持下对沙区土地沙漠化进行动态评价。结果表明 ,近 2 0年来土地沙漠化基本得到控制 ,局部有所发展。沙漠化形成的主要自然因素是干燥的气候条件和地表丰富的沙源 ;人类不合理的经济活动加速了沙漠化进程。     

面向空间数据挖掘的MCSs移动和传播影响因素分析

利用1998年6～8月青藏高原逐时红外遥感云图及青藏高原高分辨率有限区域数值预报值(HLAFS), 运用空间数据挖掘的相关分析技术对青藏高原MCSs的移动和传播与其周围环境场中物理量场之间的关系进行了研究.结果表明:它们东移出高原(105(E)与其东侧在400、500hPa上的高度(H)、涡度(VOR)、散度(DIV)、水汽通量散度(IFVQ)、垂直速度(W)、指数(K)等6个物理量的特征值,以及其自身形状密切相关.这对MCSs的移动和传播这一迄今的难题提供了研究思路和方法,同时对预报高原MCSs东移影响长江中下游地区的强降水也很有帮助.     

浅水湖泊水生植被遥感监测研究进展

在浅水湖泊中,水生植物具有净化水质、抑制藻类、提供鱼类食物和栖息环境等生态功能,同时,其过度扩张也会加速湖泊淤浅和沼泽化、引起湖泊二次污染等环境负效应.实时动态地掌握湖泊水生植被类群和种群的空间分布及其面积、生物量等指标信息,对湖泊生态修复和评估、水生植被恢复和管理等具有重要现实意义.遥感技术的大面积、实时、动态等特点...     

An assessment of chlorophyll-a concentration spatio-temporal variation using Landsat satellite data,in a small tropical reservoir

Traditional approaches to monitoring aquatic systems are often limited by the need for data collection which often is time-consuming, expensive and non-continuous. The aim of the study was to map the spatio-temporal chlorophyll-a concentration changes in Malilangwe Reservoir, Zimbabwe as an indicator of phytoplankton biomass and trophic state when the reservoir was full (year 2000) and at its lowest capacity (year 2011), using readily available Landsat multispectral images. Medium-spatial resolution (30 m) Landsat multispectral Thematic Mapper TM 5 and ETM+ images for May to December 1999–2000 and 2010–2011 were used to derive chlorophyll-a concentrations. In situ measured chlorophyll-a and total suspended solids (TSS) concentrations for 2011 were employed to validate the Landsat chlorophyll-a and TSS estimates. The study results indicate that Landsat-derived chlorophyll-a and TSS estimates were comparable with field measurements. There was a considerable wet vs. dry season differences in total chlorophyll-a concentration, Secchi disc depth, TSS and turbidity within the reservoir. Using Permutational multivariate analyses of variance (PERMANOVA) analysis, there were significant differences (p < 0.0001) for chlorophyll-a concentration among sites, months and years whereas TSS was significant during the study months (p < 0.05). A strong positive significant correlation among both predicted TSS vs. chlorophyll-a and measured vs. predicted chlorophyll-a and TSS concentrations as well as an inverse relationship between reservoir chlorophyll-a concentrations and water level were found (p < 0.001 in all cases). In conclusion, total chlorophyll-a concentration in Malilangwe Reservoir was successfully derived from Landsat remote sensing data suggesting that the Landsat sensor is suitable for real-time monitoring over relatively short timescales and for small reservoirs. Satellite data can allow for surveying of chlorophyll-a concentration in aquatic ecosystems, thus, providing invaluable data in data scarce (limited on site ground measurements) environments.     

改进Faster R-CNN的遥感图像多尺度飞机目标检测

为了提高遥感图像中多尺度飞机目标的检测精度,本文提出一种基于改进Faster R-CNN的遥感图像飞机目标检测方法。该方法借助多层级融合结构,将深层次的语义特征与浅层次的细节特征相结合,生成多种尺度的既具有精确的位置信息又具有深层次的语义特征的特征图;再借助Faster R-CNN的多尺度RPN (Region Proposal Network)机制,通过对RPN中候选区域尺度的修正,从而提高遥感图像中多尺度飞机目标的定位精度;最后利用Faster R-CNN的分类回归网络,得到飞机目标检测结果。在高分辨率遥感图像中进行了实验,对3种特征提取网络ZF、VGG-16以及ResNet-50进行改进,改进后的精度分别提高了11.34%、9.87%以及1.66%,并且生成的检测框更加贴合飞机目标。实验结果表明,本文方法适用于遥感图像多尺度飞机目标检测,在提高目标定位精度的同时降低了目标漏检现象。     

非均匀地表蒸散遥感研究综述

本文评述了目前常用的遥感估算地表蒸散方法,包括地表能量平衡模型、Penman-Monteith类模型、温度—植被指数特征空间方法、Priestley-Taylor类模型和其他方法。然而使用这些方法估算地表蒸散时会面临严重的尺度效应,而产生尺度效应的根本原因之一是地表异质性,在分析了非均匀下垫面对水热通量遥感反演造成的影响后,介绍了面积加权、校正因子补偿与温度降尺度3种尺度误差纠正方法;并从地面观测实验的角度简述了非均匀下垫面水热通量真实性检验的研究;最后探讨了将来建立更具时空代表性的非均匀下垫面地表蒸散遥感估算模型可能会面临的一些挑战。     

广角水体体散射函数测量技术及其应用研究进展

水体体散射函数是描述水体中光在各方向散射特性的一个重要的固有光学参数,对水色遥感、水环境监测与保护、海气交互过程研究、水下军事目标跟踪等领域具有十分重要的意义。水体体散射函数测量尤其是覆盖0°—180°范围的广角体散射函数测量技术起步较晚,直接测量难度较大,一直以来都是一个棘手的科学难题。本文梳理了国内外广角水体体散射函数测量技术的发展历程,对于广角体散射函数测量技术,从原理上大致可以分为单一探测器转动式、多个固定探测器阵列式以及面阵CCD成像式等3大类,对不同测量原理下的测量技术进行详细分析,并对广角水体体散射函数测量技术在海洋生物光学、气泡跟踪、水色遥感等方面的相关应用进展进行总结和归纳,并对未来广角水体体散射函数的发展趋势和应用前景进行展望。     

RESEARCH ON AUTOMATIC FOG IDENTIFICATION TECHNOLOGY BY METEOROLOGICAL SATELLITE REMOTE SENSING

There is an urgent need for the development of a method that can undertake rapid, effective, and accurate monitoring and identification of fog by satellite remote sensing, since heavy fog can cause enormous disasters to China’s national economy and people's lives and property in the urban and coastal areas. In this paper, the correlative relationship between the reflectivity of land surface and clouds in different time phases is found, based on the analysis of the radiative and satellite-based spectral characteristics of fog. Through calculation and analyses of the relative variability of the reflectivity in the images, the threshold to identify quasi-fog areas is generated automatically. Furthermore, using the technique of quick image run-length encoding, and in combination with such practical methods as analyzing texture and shape fractures, smoothness, and template characteristics, the automatic identification of fog and fog-cloud separation using meteorological satellite remote sensing images are studied, with good results in application.