Spatial filtering efficiency of monostatic biaxial lidar: analysis and applications.
نویسندگان
چکیده
Results of lidar modeling based on spatial-angular filtering efficiency criteria are presented. Their analysis shows that the low spatial-angular filtering efficiency of traditional visible and near-infrared systems is an important cause of low signal/background-radiation ratio (SBR) at the photodetector input The low SBR may be responsible for considerable measurement errors and ensuing the low accuracy of the retrieval of atmospheric optical parameters. As shown, the most effective protection against sky background radiation for groundbased biaxial lidars is the modifying of their angular field according to a spatial-angular filtering efficiency criterion. Some effective approaches to achieve a high filtering efficiency for the receiving system optimization are discussed.
منابع مشابه
Comprehensive Analysis of Dense Point Cloud Filtering Algorithm for Eliminating Non-Ground Features
Point cloud and LiDAR Filtering is removing non-ground features from digital surface model (DSM) and reaching the bare earth and DTM extraction. Various methods have been proposed by different researchers to distinguish between ground and non- ground in points cloud and LiDAR data. Most fully automated methods have a common disadvantage, and they are only effective for a particular type of surf...
متن کاملInvestigation of spherical aberration effects on coherent lidar performance.
In this paper we demonstrate experimentally the performance of a monostatic coherent lidar system under the influence of phase aberrations, especially the typically predominant spherical aberration (SA). The performance is evaluated by probing the spatial weighting function of the lidar system with different telescope configurations using a hard target. It is experimentally and numerically prov...
متن کاملDetermination of the Complex Refractive Index and Size Distribution of Atmospheric Particulates From Bistatic-Monostatic Lidar and Solar Radiometer Measurements
A method is presented for inferring both the size distribution and the complex refractive index of atmospheric particulates from combined bistatic-monostatic lidar and solar radiometer observations. The basic input measurements are spectral optical depths at several visible and near-infrared wavelengths as obtained with a solar radiometer and backscatter and angular scatter coefficients as obta...
متن کاملData Filtering and Feature Extraction of Urban Typical Objects from Airborne Lidar Point Cloud
The research in the detection and feature extraction of typical objects in urban areas has intensified. In existing detection technologies, it has been shown that the LIDAR technique is very promising and suitable for 3D object detection mainly because 3D sub-randomly spatial distributed point cloud represented the object’s geometrical structure can be obtained easily and instantly. In this pap...
متن کاملIntegration of Visible Image and LIDAR Altimetric Data for Semi-Automatic Detection and Measuring the Boundari of Features
This paper presents a new method for detecting the features using LiDAR data and visible images. The proposed features detection algorithm has the lowest dependency on region and the type of sensor used for imaging, and about any input LiDAR and image data, including visible bands (red, green and blue) with high spatial resolution, identify features with acceptable accuracy. In the proposed app...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید
ثبت ناماگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید
ورودعنوان ژورنال:
- Applied optics
دوره 41 36 شماره
صفحات -
تاریخ انتشار 2002