Multi-source remote sensing data fusion: status and trends
J Zhang - International Journal of Image and Data Fusion, 2010 - Taylor & Francis
With the fast development of remote sensor technologies, eg the appearance of Very High
Resolution (VHR) optical sensors, SAR, LiDAR, etc., mounted on either airborne or …
Resolution (VHR) optical sensors, SAR, LiDAR, etc., mounted on either airborne or …
Advances in fusion of optical imagery and LiDAR point cloud applied to photogrammetry and remote sensing
J Zhang, X Lin - International Journal of Image and Data Fusion, 2017 - Taylor & Francis
ABSTRACT Optical imagery and Light Detection And Ranging (LiDAR) point cloud are two
major data sources in the community of photogrammetry and remote sensing. Optical …
major data sources in the community of photogrammetry and remote sensing. Optical …
Semi-automated extraction and delineation of 3D roads of street scene from mobile laser scanning point clouds
Accurate 3D road information is important for applications such as road maintenance and
virtual 3D modeling. Mobile laser scanning (MLS) is an efficient technique for capturing …
virtual 3D modeling. Mobile laser scanning (MLS) is an efficient technique for capturing …
[HTML][HTML] Object-based analysis of multispectral airborne laser scanner data for land cover classification and map updating
During the last 20 years, airborne laser scanning (ALS), often combined with passive
multispectral information from aerial images, has shown its high feasibility for automated …
multispectral information from aerial images, has shown its high feasibility for automated …
Extracting roads from dense point clouds in large scale urban environment
This paper describes a method for extracting roads from a large scale unstructured 3D point
cloud of an urban environment consisting of many superimposed scans taken at different …
cloud of an urban environment consisting of many superimposed scans taken at different …
A survey of digital earth
The creation of a digital representation of the Earth and its associated data is a complex and
difficult task. The incredible size of geospatial data and differences between data sets pose …
difficult task. The incredible size of geospatial data and differences between data sets pose …
Automated road markings extraction from mobile laser scanning data
Road markings are used to provide guidance and instruction to road users for safe and
comfortable driving. Enabling rapid, cost-effective and comprehensive approaches to the …
comfortable driving. Enabling rapid, cost-effective and comprehensive approaches to the …
Review on active and passive remote sensing techniques for road extraction
Digital maps of road networks are a vital part of digital cities and intelligent transportation. In
this paper, we provide a comprehensive review on road extraction based on various remote …
this paper, we provide a comprehensive review on road extraction based on various remote …
Automatic identification of center pivot irrigation systems from landsat images using convolutional neural networks
Being hailed as the greatest mechanical innovation in agriculture since the replacement of
draft animals by the tractor, center pivot irrigation systems irrigate crops with a significant …
draft animals by the tractor, center pivot irrigation systems irrigate crops with a significant …
Detection, classification, and map** of US traffic signs using google street view images for roadway inventory management
Background Maintaining an up-to-date record of the number, type, location, and condition of
high-quantity low-cost roadway assets such as traffic signs is critical to transportation …
high-quantity low-cost roadway assets such as traffic signs is critical to transportation …