Examining LiDAR – WorldView-3 data synergy to generate a detailed stand map in a mixed forest in the north-west of Turkey

Although stand delineation approach based on aerial photographs and field survey produces high accuracy maps, it is labour-intensive and time consuming. Furthermore, conventional forest stand maps may have some uncertainties that can hardly be verified due to the experiments and skills of photo-interpreters. Therefore, researchers have been seeking more objective and cost-effective methods for forest mapping. LiDAR (Light Detection and Ranging) data have a high potential to automatically delineate forest stands. Unlike optical sensors, LiDAR height data provides information about both the horizontal and vertical structural characteristics of forest stands. However, it deprives of spectral data that may be successfully used in separating tree species. In this study, we investigate the potential of LiDAR – WorldView-3 data synergy for the automatic generation of a detailed forest stand map which can be used for a tactical forest management plan. Firstly, image segmentation was applied to LiDAR data alone and LiDAR/WorldView-3 data set in order to obtain the most suitable image objects representing forest stands. Visual inspection of the segmentation results showed that image objects based on the LiDAR/WorldView-3 data set were more compatible with the reference forest stand boundaries. After the segmentation process, the LiDAR and LiDAR/WorldView-3 data sets were independently classified using object-based classification method. We tested two levels of classification. The first was a detailed classification with 14 classes considering reference stand types. The second was the rough classification with 9 classes where some stand types were combined. The mean, standard deviation and texture features of LiDAR metrics and spectral information were used in the classification. The accuracy assessment results of LiDAR data showed that the Overall Accuracy (OA) was calculated as 0.31 and 0.43, and the Kappa Index (KIA) was calculated as 0.26 and 0.32 for the detailed and rough classifications, respectively. For the LiDAR/WorldView-3 data set, the OA values were calculated as 0.50 and 0.61, and the KIA were calculated as 0.46 and 0.55 for the detailed and rough classifications, respectively. These results showed that the forest stand map derived from the LiDAR/WorldView-3 data synergy is more compatible with the reference forest stand map. In conclusion, it can be said that the forest stand maps produced in this study may provide strategic forest planning needs, but it is not sufficient for tactical forest management plans.     

卫星遥感农业监测系统中权重优化的实例修改算法

针对播种机设计过程需求获取的复杂性和可用性低等问题,采用遥感等技术动态监测土壤、农作物生长过程中的一些参数,以优化设计需求特征,并以此为基础,提出改进的混合权重实例修改算法。该算法以相似实例检索为前提,以相似实例集中的特征相似度、问题-解特征间的关联度、问题特征间的自相关度为因子,通过矩阵乘法来构造解特征混合权重矩阵,进行实例修改。将其应用到铲式播种机的数字化设计系统中,以实现智能设计。研究结果表明新算法能有效提高机械设计结果的可用性和准确度。     

空间光学遥感器新型分光技术探讨

文章提出在共同视场条件的一种新型分光模式来简化遥感器系统,并分析了该分光方案的优点和存在的问题,给出了采用此分光模式获得热红外图像。     

Lunar Reconnaissance Orbiter Overview: The Instrument Suite and Mission

NASA’s Lunar Precursor Robotic Program (LPRP), formulated in response to the President’s Vision for Space Exploration, will execute a series of robotic missions that will pave the way for eventual permanent human presence on the Moon. The Lunar Reconnaissance Orbiter (LRO) is first in this series of LPRP missions, and plans to launch in October of 2008 for at least one year of operation. LRO will employ six individual instruments to produce accurate maps and high-resolution images of future landing sites, to assess potential lunar resources, and to characterize the radiation environment. LRO will also test the feasibility of one advanced technology demonstration package. The LRO payload includes: Lunar Orbiter Laser Altimeter (LOLA) which will determine the global topography of the lunar surface at high resolution, measure landing site slopes, surface roughness, and search for possible polar surface ice in shadowed regions, Lunar Reconnaissance Orbiter Camera (LROC) which will acquire targeted narrow angle images of the lunar surface capable of resolving meter-scale features to support landing site selection, as well as wide-angle images to characterize polar illumination conditions and to identify potential resources, Lunar Exploration Neutron Detector (LEND) which will map the flux of neutrons from the lunar surface to search for evidence of water ice, and will provide space radiation environment measurements that may be useful for future human exploration, Diviner Lunar Radiometer Experiment (DLRE) which will chart the temperature of the entire lunar surface at approximately 300 meter horizontal resolution to identify cold-traps and potential ice deposits, Lyman-Alpha Mapping Project (LAMP) which will map the entire lunar surface in the far ultraviolet. LAMP will search for surface ice and frost in the polar regions and provide images of permanently shadowed regions illuminated only by starlight. Cosmic Ray Telescope for the Effects of Radiation (CRaTER), which will investigate the effect of galactic cosmic rays on tissue-equivalent plastics as a constraint on models of biological response to background space radiation. The technology demonstration is an advanced radar (mini-RF) that will demonstrate X- and S-band radar imaging and interferometry using light weight synthetic aperture radar. This paper will give an introduction to each of these instruments and an overview of their objectives.     

一种频分制遥测系统的设计与研制

介绍了某战斗弹上所用的频分制遥测系统。对该系统的遥测参数及遥测系统主要指标进行了分析，并介绍了研制中解决的主要关键技术问题     

TH230无线数传电台工作原理及应用

ＴＨ２３０是集成无线和数传专业技术，用于数据传输、无线遥控的多功能电台。介绍ＴＨ２３０专业无线电台的工作原理及其在供配电系统中的应用。     

前苏联卫星遥感技术概况及其应用

该文介绍前苏联航天遥感系统的概况及其应用。     

共轴式双旋翼无人驾驶直升机地面监控系统人机界面的实现

对共轴式双旋翼无人驾驶直升机监控系统人机界面进行介绍与分析，阐述Ｗｉｎｄｏｗ ｓ环境下实现三维实时动画的一种有效方法。该方法具有低硬件要求和高动画质量等特点     

新一代多光谱扫描仪方案设计

新一代多光谱扫描仪方案设计是以某单位拟议的技术要求为依据开展的。文章简要介绍了方案设计中的设计思想、系统基本原理和关键技术原理等。该遥感器已于1999年10月完成原理样机研制,获得了满意的结果。