Multi-agent hyperspectral and lidar features fusion for urban vegetation mapping
Author:
Publisher
Springer Science and Business Media LLC
Subject
General Earth and Planetary Sciences
Link
https://link.springer.com/content/pdf/10.1007/s12145-022-00928-y.pdf
Reference32 articles.
1. Cobby DM, Mason DC, Horritt MS, Bates PD (2003) Two-dimensional hydraulic flood modelling using a finite-element mesh decomposed according to vegetation and topographic features derived from airborne scanning laser altimetry. Hydrol Process 17(10):1979–2000
2. Datt B (1999) A new reflectance index for remote sensing of chlorophyll content in higher plants: tests using Eucalyptus leaves. J Plant Physiol 154(1):30–36
3. Debes C, Merentitis A, Heremans R, Hahn J, Frangiadakis N, van Kasteren T, ... & Philips W (2014) Hyperspectral and LiDAR data fusion: outcome of the 2013 GRSS data fusion contest. IEEE J Select Topics Appl Earth Obs Remote Sens 7(6):2405–2418
4. Del Frate F, Pacifici F, Schiavon G, Solimini C (2007) Use of neural networks for automatic classification from high-resolution images. IEEE Trans Geosci Remote Sens 45(4):800–809
5. Fang B, Li Y, Zhang H, Chan JCW (2020) Collaborative learning of lightweight convolutional neural network and deep clustering for hyperspectral image semi-supervised classification with limited training samples. ISPRS J Photogramm Remote Sens 161:164–178
Cited by 4 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
1. Dual-stream spectral-spatial convolutional neural network for hyperspectral image classification and optimal band selection;Advances in Space Research;2024-09
2. Generating Accurate Crop Health Information Through Hyper Spectral Image Analysis;2024 2nd International Conference on Artificial Intelligence and Machine Learning Applications Theme: Healthcare and Internet of Things (AIMLA);2024-03-15
3. Classification of hyperspectral images based on fused 3D inception and 3D-2D hybrid convolution;Signal, Image and Video Processing;2024-01-20
4. Evaluation of CNN Models Using Deep Reinforcement Learning for Band Selection on Hyperspectral Image Classification;2023-10-04
1.学者识别学者识别
2.学术分析学术分析
3.人才评估人才评估
"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370
www.globalauthorid.com
TOP
Copyright © 2019-2024 北京同舟云网络信息技术有限公司 京公网安备11010802033243号 京ICP备18003416号-3