Using a variety of data which are provided from different sensors, increase the spatial and the spectral accuracy. Lidar (Light Detection and Ranging) data fused together with hyperspectral images (HSI) provide rich data for classification of the surface objects. Lidar data representing high quality...
This paper proposes a semi-supervised graph-based fusion framework to couple dimensionality reduction and the fusion of multi-sensor data for classification. First, morphological features are used to model the elevation and spatial information contained in both LiDAR data and on the first few principal...
Results indicate great overall accuracy of 97.33% and a kappa coefficient of 0.9710. 展开 关键词: precise LC/LU maps Hyperspectral imagery LiDAR data data Fusion Object-based classification 会议名称: 2014 IEEE Geoscience and Remote Sensing Symposium ...
Coastal mapping from active remote sensing datasets, including light detection and ranging (LIDAR) and synthetic aperture radar (SAR), has been investigated and evaluated. Cook [5] employed LIDAR data in shoreline mapping and change detection along the Florida coast. Similarly, as part of the Nati...
华东师范大学 East China Normal University Hyperspectral Remote Sensing and LiDAR Data Fusion讲座论坛 02019-04-29 14:30 闵行校区河口海岸大楼A304会议室主讲人 杜谦 主讲人介绍 博士,美国密西西比州立大学电子信息与计算机工程系Bobby Shackouls教授,国际电气与电子工程师协会会士(IEEEFellow)、国际光学工程学会会...
Multisource remote sensing (RS) image fusion leverages data from various sensors to enhance the accuracy and comprehensiveness of Earth observation. Notably, the fusion of hyperspectral (HS) images and light detection and ranging (LiDAR) data has garnered significant attention due to their complementar...
In this paper, we propose an analysis on the joint effect of hyperspectral and light detection and ranging (LIDAR) data for the classification of complex f... M Dalponte,L Bruzzone,D Gianelle - 《IEEE Transactions on Geoscience & Remote Sensing》 被引量: 586发表: 2008年 IMAGE FUSION FOR ...
(2018). "Open Data for Global Multimodal Land Use Classification: Outcome of the 2017 IEEE GRSS Data Fusion Contest." IEEE Journal of Selected Topics ... F Yazdankhah,S Mousavi,A Mosavi,... 被引量: 1发表: 2017年 A TWO-STREAM FUSION FRAMEWORK FOR LIDAR AND HYPERSPECTRAL IMAGERY Data fu...
LiDAR fusion with other datasets, including multispectral, hyperspectral, and radar, is found to be useful for a variety of applications in the literature, both at individual tree level and at area level, for tree/crown segmentation, aboveground biomass assessments, canopy height, tree species ident...
In recent years, deep learning-based multi-source data fusion, e.g., hyperspectral image (HSI) and light detection and ranging (LiDAR) data fusion, has gained significant attention in the field of remote sensing. However, the traditional convolutional neural network fusion techniques always provide...