FULL WAVEFORM ACTIVE HYPERSPECTRAL LIDAR

作者
Teemu Hakala,Juha Suomalainen,Sanna Kaasalainen
出处
期刊:The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences [Copernicus Publications]
卷期号:XXXIX-B7: 459-462 被引量:6
标识
DOI:10.5194/isprsarchives-xxxix-b7-459-2012
摘要

Abstract. We have developed a prototype full waveform hyperspectral LiDAR and investigated its potential for remote sensing applications. Traditionally hyperspectral remote sensing is based on passive measurement of sunlit targets. These methods are sensitive to errors in illumination conditions and lack the range information. Our prototype can measure both the range and the spectral information from a single laser pulse. At this stage, the instrument is optimized for short range terrestrial applications. An active hyperspectral LiDAR opens up new possibilities for LiDAR data analysis. The lack of spectral information in traditional monochrome LiDARs rules out many of the classification techniques available for processing of hyperspectral data. Similarly, passive hyperspectral data does not allow extensive use of the classifications based on 3D shape parameters. With both hyperspectral and range data available in a single dataset, the best of the techniques can be applied to form more reliable classification results. The data also allows the mapping of spectral indices in 3D. As an example a Norway spruce is measured and spatial distribution of several spectral indices is illustrated.

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
choi完成签到,获得积分10
刚刚
科研通AI6.4应助xiaolizi采纳,获得10
1秒前
tu发布了新的文献求助10
1秒前
小比熊完成签到,获得积分10
2秒前
彭于晏应助儒雅龙采纳,获得10
3秒前
wanci应助Chur采纳,获得30
3秒前
NexusExplorer应助林翔翔采纳,获得10
4秒前
Tree发布了新的文献求助10
4秒前
花样年华完成签到,获得积分10
4秒前
Anquan完成签到,获得积分0
4秒前
4秒前
5秒前
6秒前
拼搏迎梦完成签到,获得积分10
6秒前
8秒前
cloud完成签到,获得积分10
8秒前
科研通AI6.3应助CC采纳,获得10
8秒前
ding应助不吃了采纳,获得10
9秒前
9秒前
10秒前
10秒前
TiAmo发布了新的文献求助10
10秒前
Tree完成签到,获得积分10
11秒前
13秒前
冷静以山发布了新的文献求助10
13秒前
市井书生发布了新的文献求助10
13秒前
14秒前
好呀关注了科研通微信公众号
14秒前
14秒前
15秒前
林翔翔发布了新的文献求助10
15秒前
15秒前
李园园发布了新的文献求助10
15秒前
horizon发布了新的文献求助10
15秒前
16秒前
打打应助大力毛豆采纳,获得10
16秒前
wuwu发布了新的文献求助10
17秒前
黎黎发布了新的文献求助10
17秒前
香蕉觅云应助儒雅龙采纳,获得10
19秒前
LiuKangwei完成签到,获得积分10
19秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
Discerning Saints: Moralization of Intrinsic Motivation and Selective Prosociality at Work 500
Handbuch Trainingswissenschaft – Trainingslehre 500
Additive Manufacturing Design and Applications (ASM Handbook, Volume 24A) 500
Variations: A More Diverse Picture of Contemporary Art 400
Induction Heating and Heat Treatment (ASM Handbook, Volume 4C) 300
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7588695
求助须知:如何正确求助?哪些是违规求助? 9166861
关于积分的说明 19620186
捐赠科研通 7168621
什么是DOI,文献DOI怎么找? 3267087
关于科研通互助平台的介绍 2432000
邀请新用户注册赠送积分活动 2259085