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This paper presents an approach for the classification of photogrammetric point clouds of scaffolding components in a construction site, aiming at making a preparation for the automatic monitoring of ...
In this paper, we present a kernel sparse subspace clustering with spatial max pooling operation (KSSC-SMP) algorithm for hyperspectral remote sensing imagery. Firstly, the feature points are mapped f...
How people move in cities and what they do in various locations at different times form human activity patterns. Human activity pattern plays a key role in in urban planning, traffic forecasting, publ...
This paper proposed a method of unsupervised classification of polarimetric SAR data based on image clustering and H/A/a decomposition. Fully polarimetric L band data collected by ALOS PALSAR system w...
For a clustering algorithm, the number of clusters is a key parameter since it is directly related to the number of homogenous regions in the given image. Although ISODATA clustering algorithm can det...
Effective and understanding exploration of hyperspectral remote sensing data necessitates the development of sophisticated schemes that represent images. Such schemes ideally preserve and recognize si...
Recently, the unique capabilities of Polarimetric Synthetic Aperture Radar (PolSAR) sensors make them an important and efficient tool for natural resources and environmental applications, such as land...
Considering the problem of automatic traffic signs recognition in natural scene image (mainly including three kinds of traffic signs: yellow warning signs, red prohibition signs and blue mandatory sig...
In this article, a new method for road extraction from high resolution Quick Bird and IKONOS pan-sharpened satellite images is presented. The proposed methodology consists of two separate stages of ro...
Automatic building reconstruction from LIDAR data has become a hot topic for several years. Many methods and algorithms have been put forward to reconstruct the building models, such as of flat roof, ...
This paper analyzes the drawbacks of traditional land grade clustering method, introduces cloud model into the frequency histogram drawing process, and advances the land grade clustering method based ...
Security informatics involves the application of information technology to protect public health and security. A common research topic in security informatics is the identification and representation ...
Because of the use of computers and its advances in scientific data handling and advancement of various geo and space borne sensors, we are now faced with a large amount of data. Therefore, the develo...
Ecological environment quality comprehensive evaluation evaluate different cells’ ecological environment quality, on the basis of region eco-environment investigation , the indexes and math methods se...

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