机载激光测深技术研究进展

分析了国内外机载激光测深技术的发展动态,指出了我国研制机载激光测深系统存在的问题。针对机载激光测深系统测深数据量大、条带拼接难度大、环境参数改正难以准确进行的瓶颈问题进行了分析,并提出了针对性的建议,为进一步研制该系统提供了借鉴。     

机载激光测深精度外部检核方法

给出了单波束测深的原理,分析了单波束观测数据预处理模型,提出了采用单波束测深成果检核机载激光数据质量的技术方法,并以我国自行研制的机载激光测深系统为例,给出了该系统在某海区试验数据的外部检核结果.针对两种测深手段之间明显存在系统性偏差的问题,提出了以单波束测深成果为控制,对机载激光测深数据系统偏差进行校正和补偿的处理方...     

机载激光测深作业的关键技术问题

简要介绍了机载激光测深的发展历程、国际上代表性产品及其性能指标,归纳了机载激光测深的主要技术特点和适用环境。结合参加的机载激光测深试验,研究解决了飞行作业过程中天线安装位置选择与信号质量测试、标校场选址与标校测线布设施测、气象条件选择、测线设计、孤立岛礁深度基准传递等影响数据质量的关键技术问题,为制定《机载激光测深作业规范》奠定了基础。     

机载海洋激光荧光雷达叶绿素a测量性能模拟和初步机载实验

发展机载激光荧光雷达系统测量叶绿素a的浓度,模拟了采用三倍频355 nm波长激光作为激发光,机载海洋激光荧光雷达在不同飞行高度和测量不同深度水层的情况下,测量海表叶绿素a浓度的相对误差。依据模拟的参数建立机载激光荧光雷达系统并进行初步机载实验,获得了同经验数据较为一致的测量结果。     

机载激光测深在我国海道测量中应用的可行性研究

自1968年美国纽约州叙拉古(Syucause)大学研究中心的G.D.Hichman首先提出了用激光脉冲测量的想法,并在1969年的《环境遥感》杂志上发表了题为“用于测量近岸水域的机载脉冲式激光机”一文以来,世界海洋大国相继对机载激光机进行了研制;美国、澳大利亚走在最前列。到目前为止,已有数十台机载激光测深仪问世,并投入使用。 本文将主要介绍机载激光测深原理,激光能量传播定理、扫描格式、各国机载激光测深仪发展及性能.并对机栽激光的应用领域和我国海道测量中的应用可行性进行研究。提出了发展我国机载激光测深系统的设想。     

一种机载激光测深回波信号的处理方法

利用回波信号的物理性质代替几何性质,将Darcy渗流方程与非线性扩散方程耦合,提出了一种基于多物理场的信号处理方法,通过有限差分方法进行离散化处理,实现对机载激光测深回波信号的处理。在此基础上,基于激光在海水中的传播特性,建立数学关系式,对机载532 nm激光测深系统回波信号进行数值模拟,利用多物理场信号处理方法对仿真模拟数据进行处理,并与传统滤波方法比较。实验结果表明,该方法可以很好地应用于机载激光回波信号的处理中,通过比较得出多物理场方法精度较高,算法稳定,验证了该方法的可行性与有效性。     

机载激光测深系统试点应用研究

首先概述了三种最新的机载激光测深系统的基本情况,然后介绍了两次不同的机载激光测深系统试验的情况及其结果。试验情况表明,机载激光测深系统在南中国海能够到达标称的测深能力,能够实现海陆一体化地理空间数据获取,具有广阔的应用前景。     

机载激光测深技术

首先基于海水的光学特性介绍了机载激光测深原理,然后根据国内外的研究现状介绍了机载激光测深系统的性能指标和系统构成,最后介绍了在海底地形测量、障碍物探测、近岸海洋工程建设等方面的应用。为从事机载激光测深系统研发和应用的技术人员提供相关原理和背景参考。     

机载激光测深系统椭圆扫描轨迹及覆盖情况分析

以国内外两种典型机载激光测深系统CZMIL和LADM-II为研究对象,介绍了两种系统的扫描机械结构,并针对椭圆扫描构建了激光点云轨迹模型,采用模拟计算、图形仿真和统计分析等方法对比了两种系统的点云分布及覆盖情况。实验结果能为工程应用中测线布设和改善我国机载激光测深系统设计提供参考。     

基于机载LiDAR测深水体波形的漫衰减系数提取方法

漫衰减系数是一个重要的海洋光学参数,能够为水体环境变化、水质分析以及水产养殖等方面提供基础性数据.针对目前船载实地测量效率与分辨率低、卫星遥感反演精度与分辨率较低的局限性,本文提出一种基于机载LiDAR测深水体波形的漫衰减系数提取方法.该方法首先通过分层异构模型的机载LiDAR波形分解算法得到水体散射回波,利用激光在水...     

Combining Lidar Elevation Data and IKONOS Multispectral Imagery for Coastal Classification Mapping

This article studies the effect of airborne lidar (surface) elevation data on the classification of multispectral IKONOS images over a coastal area. The lidar data and IKONOS images are treated as independent multiple bands to conduct the classification. To do so, the lidar elevation data is first resampled to the same ground spacing interval and stretched to the same radiometric range as the IKONOS images. An unsupervised classification based on the ISODATA algorithm is then used to determine a class schema of six classes: road, water, marsh, roof, tree, and sand. Training sites and checking sites are selected over the lidar-IKONOS merged data set for the subsequent supervised classification and quality evaluation. The complete confusion matrices and average quality indices are presented to assess and compare the classification results. It is shown that the inclusion of the lidar elevation data benefits the separation of classes that have similar spectral characteristics, such as roof and road, water and marsh. The overall classification errors, especially the false positive errors, are reduced by up to 50%. Moreover, by using the lidar elevation data, the classification results show more realistic and homogeneous distribution of geographic features. This property will benefit the subsequent vectorization of the classification maps and the integration of the vector data into a geographical information system.     

Combining Lidar Elevation Data and IKONOS Multispectral Imagery for Coastal Classification Mapping

This article studies the effect of airborne lidar (surface) elevation data on the classification of multispectral IKONOS images over a coastal area. The lidar data and IKONOS images are treated as independent multiple bands to conduct the classification. To do so, the lidar elevation data is first resampled to the same ground spacing interval and stretched to the same radiometric range as the IKONOS images. An unsupervised classification based on the ISODATA algorithm is then used to determine a class schema of six classes: road, water, marsh, roof, tree, and sand. Training sites and checking sites are selected over the lidar-IKONOS merged data set for the subsequent supervised classification and quality evaluation. The complete confusion matrices and average quality indices are presented to assess and compare the classification results. It is shown that the inclusion of the lidar elevation data benefits the separation of classes that have similar spectral characteristics, such as roof and road, water and marsh. The overall classification errors, especially the false positive errors, are reduced by up to 50%. Moreover, by using the lidar elevation data, the classification results show more realistic and homogeneous distribution of geographic features. This property will benefit the subsequent vectorization of the classification maps and the integration of the vector data into a geographical information system.     

机载海洋激光荧光雷达测量海表层叶绿素a浓度的算法研究

基于中国海洋大学研制的我国首台机载海洋激光荧光雷达系统及其测量海水中叶绿素a浓度的方法;对该系统在烟台至荣成沿岸海域进行实验的情况作一回顾,并对实验数据进行了处理,采用拉曼校正归一方法,反演了海表层的叶绿素a浓度,同时利用激光雷达方程反演出了海水的衰减系数;另外,提出了最小二乘拟合提取信号峰值的新反演算法。反演结果与往年同时期采集数据较为吻合,使用最小二乘拟合提取信号峰值的算法反演的叶绿素a浓度更接近于近期实地测得的结果。     

机载激光雷达测深技术研究与进展

当前包括内河、水库及海域在内的水上、水下地形测量任务需求不断增加,进行水域或海洋测绘领域研究已提升到新的国家战略性高度。首先介绍了当前机载激光雷达水深测量的基本原理;概括总结了激光测深中的波形处理、波浪潮汐改正、折射改正、航带拼接与数据融合等关键技术,对测深的精度及误差影响进行了分析。最后结合当前技术的发展及新技术的出现,对未来机载激光雷达测深技术的发展进行了展望。     

基于ICESat-2和GSWD数据获取动态水域地形图的方法

传统的湖泊、海岸带测深主要是基于船载多波束系统或者机载激光雷达测深系统,但这些方式测量成本较高。因此提出了一种仅利用卫星观测数据,实现高分辨率动态水域地形图的获取方法,该方法基于ICESat-2单光子激光点云和Landsat图像数据的全球地表水数据集(GSWD),对所获取的高精度激光沿轨轮廓线与多年期湖泊水域边界等高线进行融合匹配。以美国最大的水库米德湖为实验区域,生成高程范围约为34 m的地形图结果,覆盖面积超过307 km~2,水平分辨率为30 m;在与机载激光雷达数据等现场实测结果的对比中,所绘制地形图均方根误差约为2 m。研究方法有望为水位波动较大或水质相对较好的内陆水体(例如湖泊)和沿海地区(例如潮间带)提供一种新的水陆交界区域地形图获取方法。     

Time characteristics of lidar signals during sensing through roughed sea surface

We have studied the influence of a roughed sea surface and the dispersion of photons over pathlengths on the time characteristics of a pulsed oceanologic airborne lidar. We have derived equations describing the first two temporal moments of a return signal for two types of lidar (a lidar with an isotropic receiver directional pattern and a lidar with an extremely narrow receiver pattern). It is shown that the delay of the return signal and its effective width depend substantially on both the characteristics of the lidar itself and on the parameters of the sea-surface roughness and inherent optical properties.     

Real Time Analysis and Display of Scanning Lidar Scattering Data

We describe software for an IBM compatible personal computer (PC) that we have developed and used to collect and analyze backscatter data from a multi-wavelength Mie-Rayleigh scanning lidar system. Both one and two-dimensional distributions of optical scattering coefficients are calculated from the lidar return signals and displayed in real time. Although we are using the software for analyzing marine aerosols, the modular nature of the software and data acquisition drivers make it straightforward to adapt the software to different systems, such as differential absorption lidar (DIAL) and oceanic lidars. We show examples of both horizontal and vertical Mie-Rayleigh lidar scans collected at the Makai Pier and Bellows Beach on the northeast side of the island of Oahu.     

基于少量地面控制的航空重力测量

提出6种少量地面重力测量布设方案和4种基于少量地面控制的航空重力测量数据处理方法,建立基于最小二乘配置的格网平均重力异常的融合模型,有效地估计出了航空重力数据可能存在的系统偏差,提高了格网数据的质量。     

Advancements in the U.S. army corps of engineers hydrographic survey capabilities: The SHOALS system

In an effort to modernize its hydrographic survey capabilities, the U.S. Army Corps of Engineers has undertaken a joint development program with Canada to construct and field test an operational prototype airborne lidar bathymeter system. The construction and field verification effort of this program began March 1990 with field tests scheduled for winter 1993. The system will be built by Optech, Inc., based on their design of the LARSEN 500, the only commercial lidar system currently producing bathymetric surveys.

The Scanning Hydrographic Operational Airborne Lidar Survey (SHOALS) system will operate out of a medium‐sized helicopter such as the Bell 212 at approximately 200 meters altitude where the laser scanning system generates a swath width of just over 140 meters. System requirements dictate a laser operating at 200 Hz in both the blue‐green wave length for maximum water depth penetration and the infrared for surface interface recognition. Each laser shot strikes the water surface at a known location where its energy is partially reflected back to the receiver and partially transmitted through the water column. Transmitted energy undergoes scattering and absorption along its path to the bottom where the remaining energy is then reflected back to the receiver.

The Transceiver, Positioning, Acquisition, Control and Display, and Ground Based Data Processing subsystems make up the SHOALS system. These subsystems have been designed, constructed, and currently are being laboratory tested prior to total system integration and field testing. This article presents the system's design and discusses system use following development.