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Geographic object-based image analysis (GEOBIA) is a useful method for image classification. This study aimed to find optimal parameters combination for extracting buildings using object-based image analysis. The images taken from two satellites Quickbird-2 and Gaofen (GF-1) were used to extract information of buildings in an urban area. The most important step in image segmentation is to determine...
Species composition has been studied extensively in different ecosystems for investigating biodiversity and evaluating ecosystem health conditions. Remote sensing imagery is an important data source for investigating species composition, owing to its large spatial coverage and continuous data acquisition. However, commonly-used remote sensing images acquired by satellite (e.g., Landsat, Quickbird)...
Long-term vegetation monitoring is important for the assessment of the impacts of mining and reclamation activities in an area like the Antaibao, where extensive and rapid opencast mining occur continuously. Accurate information of vegetation fraction is important for assessing how mining activities affect the ecosystem in mining areas. A remote sensing method based on vegetation cover monitoring...
Remote sensing imageries are widely applied in the field of water quality monitoring since they have the features of wide detection range and fast data acquisition. Water quality monitoring based on remote sensing imagery takes the semi-empirical method mostly. However, the resolution of the most remote sensing imageries processed by the semi-empirical method is relatively low. The semi-empirical...
Sea-land segmentation on infrared remote sensing image has attracted a lot of research interest in the civil-military applications, such as ocean target detection, coastline extraction and so on. Unlike panchromatic satellite images, infrared remote sensing images usually have a low signal to noise ratio and suffer from weather condition like clouds and mists, so existing sea-land segmentation algorithms...
It is a great challenge to accurately reveal their relationship for both SAT estimation from LST and LST validation with SAT. Bivariate correlation and regression analyses were used to investigate the relationships between the LSTs retrieved from the Landsat thermal infrared (TIR) images and the synchronous hourly SATs acquired at weather stations in this study. Results show that at the significance...
The Pearl River delta is one of the most densely populated areas in China, with high urbanization and rapid economic development. The drama change of land use in recent years has been matched by rising pollution of water. With monitoring data of water quality and Landsat OLI8 images 2013, this paper analyzed the relationship between land use and water quality in the river net area of Pearl River delta...
Due to the limitation of the band range of satellite sensor and the influence of the earth's atmosphere, the Landsat remote sensing images are inevitably be covered with clouds, which bring many difficulties to subsequent using and interpretation(environmental monitoring, resource investing-ation, agricultural production, ecological protection, et al). So detecting cloud accurately in remote sensing...
As an important part of Chinese painting and calligraphy, the seal not only has a high value of art, but also contains a lot of information about the author. Hyperspectral data has its unique advantages in the identification of the Chinese traditional painting and calligraphy seal. In this paper, the seal of WangXu collected by Capital Museum is taken as the research object. Firstly, hyperspectral...
The increase of urban impervious surface has significant influence on the urban ecological environment, also contributes to urban waterlogging and urban heat island (UHI). Therefore, the remote sensing extraction of urban impervious surface becomes a hotspot. The widely used sub-pixel approach - Linear Spectral Mixture Analysis (LSMA) estimates the impervious surface by adding the high albedo (the...
Evaluation of ecological carrying capacity has a great significance on ecosystem health and sustainable development. The sustainable development of ecological environment has become one of the most prominent issues in China. The high resolution data include GF1, ZY1-02C and ZY3 were obtained from China Center for Resources Satellite Data and Application. We resampled these data to 5m due to the different...
This study analyzed the spatiotemporal diffusion path and main risk factors of dengue outbreak through microscopic spatiotemporal data mining. Firstly, the life cycle and variation trend of dengue fever were investigated by using the least-squares trend fitting and derivative methods. Then, by regarding day and week, the spatiotemporal mapping and spatial analysis methods were employed to investigate...
Learning powerful feature representations is of great importance in order to improve the accuracy of high-resolution remote sensing imagery (HRRSI) scene classification. Generally, traditional methods mainly focus on low-level features. Though these feature representations can achieve satisfactory performance to some extent, the performance improvement is small. More importantly, these low-level feature...
Impervious surface area (ISA) as the indicator of urbanization has a significance for urban ecological environment evaluation. Impervious surface extracting methods based on high-resolution remote sensing imagery can extract ISA in a fine-scale. However, a series of consequent problems cannot be ignored, such as shadows from tall building and canopies. In order to solve the shadow problem, high-resolution...
According to the engineering application of tunnel measurement, designed two technology solutions, separately using two 3-d laser scanner with different distance measurement principle to obtain the space information of the same tunnel simulation scenario, analysis and comparison data, conclude the reliability and quality of alternative. There are a variety of styles point cloud of target in the same...
Aerodynamic roughness length (z0) is one of those important biophysical parameters, which influence energy exchange at the land-atmosphere interface, so it is significant to quantify the z0 accurately. In this paper, a scheme parameterizing land-surface z0 at regional scale has been approached based on multi-resource remote sensing data, including LiDAR and optical remote sensing. Firstly, we retrieved...
3D digital watermarking is not only of great significance to the copyright protection of cultural relics, but the main bottleneck of the widely use of 3D model. This paper gives a brief discussion of system principles, embedding requirements, algorithm categories, attack techniques, etc. And focusing on special features and practical application of 3D model of cultural relics, four development directions...
Vehicle detection is crucial to intelligent transportation system and other applications. Existing studies focus on detecting vehicles without considering the variations in geographic scenes, which have great impacts on the selection of image segmentation scales and detection algorithms. Moreover, they solely take advantage of visual features while ignore spatial distribution features. This paper...
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