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搜索结果: 1-15 共查到2-D Feature Extraction相关记录60条 . 查询时间(0.078 秒)
A low-cost but accurate remote-sensing-based forest-monitoring tool is necessary for regularly inventorying tree-level parameters and stand-level attributes to achieve sustainable management of timber...
In this paper, we propose a software architecture for a feature extraction tool which is suitable for automatic extraction of sparse features from large remote sensing data capable of using higher ord...
Corrugated roof sheets used for large-scale industrial rooftops have the potential to carry solar panels. The sheets, however, need to be surveyed so that the solar panels can be installed according t...
In view of the fact that the deep convolutional neural network has stronger ability of feature learning and feature expression, an exploratory research is done on feature extraction and classification...
In order to solve the problem lacking applicable analysis method in the application of three-dimensional laser scanning technology to the field of deformation monitoring, an efficient method extractin...
Light-weight 2D format hyperspectral imagers operable from unmanned aerial vehicles (UAV) have become common in various remote sensing tasks in recent years. Using these technologies, the area of inte...
Mobile Mapping (MM) is a technique to obtain geo-information using sensors mounted on a mobile platform or vehicle. The mobile platform’s position is provided by the integration of Global Navigation S...
Recent developments of optical space sensors enable us to use high resolution space images for topographic mapping. Geometric and radiometric resolution are the major factors for identification of o...
The hyperspectral image enriches spectrum information, so compared with panchromatic image and multispectral image; it can classify the ground target better. The feature extraction of hyperspectral im...
Atmospheric pollution was previously considered as a 'Brown Cloud’ phenomenon restricted to industrialized urban regions. Studies in field stations and satellite observations made since the last decad...
Feature extraction plays a key role in hyperspectral images classification. Using unlabeled samples, often unlimitedly available, unsupervised and semisupervised feature extraction methods show better...
With the rapid development of remote sensing technology, three dimensional coordinates and intensity information of observation target can be obtained directly from LIDAR system. It is one of the impo...
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...
Areal features are of great importance in applications like shore line mapping, boundary delineation and change detection. This research work is an attempt to automate the process of extracting featur...
LiDAR has been a major interest of photogrammetry to acquire three dimensional objects. It has shown its promising capabilities in building virtual reality applications, such as virtual campus and vir...

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