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Urban green land is the one important aspect to indicate the Urban Modernization level. Urban stressed green land spectral features could be described by selected band ratios with image spectrometer, and these ratios including: NDVI, CARI, MTVI2, and so on. The imaging Fourier transform spectrometer (IFTS) HJY20-1-A onboard China small satellite ldquoHJ-1Ardquo will reflect urban green land distribution...
Remote sensing has been widely used for urban planning, urban environment and resources management. Recognition of some small targets is crucial for these purposes, and hyperspectral data can be used to extract targets with its high spectral resolution. This paper presented several representative algorithms of small targets detection in hyperspectral image, and four abnormal detect methods were applied...
The normal vector generation from point cloud plays a vital role in 3D laser scanning data processing. An effective generation method of normal vector from disordered point cloud is proposed in the paper. In the proposed method, disordered point cloud is firstly projected on the 2D plane via cylindrical surface. After establishing the triangle grids, the unit normal vector of each vertex is then calculated...
Over the past two decades the remote sensing technology is applied in a large scale in environmental research and policy, i.e. water pollution monitoring and conservation of soil, etc. The methods for recognition of man-made objects in remote sensing images are providing capabilities for mapping and monitoring crucial objects or sites in environmental management, i.e. hazardous chemicals storerooms,...
At the high resolutions attainable with the new generation space-borne sensors, the focus moves increasingly from spectral characteristics to geometric features. This trend is even more evident for urban areas which tend to show an unpaired concentration of linear features with respect to any other land cover. This naturally applies to both optical and radar images, and suggests one may use local...
We present a method of a hierarchical classification technique to distinguish street trees from the neighboring grasslands and roads based on high resolution remote sensing images. Street trees information is obtained based on full use of the spectral and textural characteristics of different objects with the help of available corresponding methods on the fused image of QuickBird panchromatic and...
In order to assessment hazard degree of urban earthquake disaster, a method of updating building information in spatial database is proposed based on high-resolution satellite images. With available high-precision geographic data in spatial database, the building information is extracted from high-resolution satellite images by object-based approach, and then used to update spatial database. According...
As a basic study on urban heat island, the surface temperature of the central Tokyo, Japan is investigated using images obtained by airborne thermal sensors. Thermographies were taken from a helicopter on August 7, 2007, both in the daytime and at night. Using these thermal images, the variation of surface temperature can be observed in a detailed manner. Although the road surface and building roofs...
In this paper, we report the result of our preliminary research that aims to examine how spatio-temporal landscape patterns can be related to socio-economic and accessibility attributes with a coastal urban area as the case. Our research methodology emphasizes the use of remotely sensed data, in combination with census data and other geographically referenced data. We classify two satellite images...
Geospatial video surveillance network (GVSN) is an effective remote sensing approach for urban security and emergency applications. In this paper, the GVSN system could be separated into four basic functional parts that include change detection, object recognition, target tracking and target positioning. Each part has its special utility to solve the security and emergency problems. When the functions...
This research paper aims at extracting features, especially the plane feature, of building from Light Detection And Ranging (LiDAR) point clouds in Urban Area, and with these features and information to build the model of object. Unlike modeling object in other fields, such as reverse engineering, surfaces of building usually consist of abundant big and plane surfaces which are significant features...
This paper uses the temperature product of Modis by the Terra satellite. Isograms, anomaly value and indirect method are applied to analyze the daily variation, seasonal variation and annual variation of Beijing heat field. The results show that isograms are tidier in the evening compared with the day. And the temperature gradient is diminishing from the city center to the edge of urban areas. The...
At a stage of rapid economic development and urbanization in China, most cities are faced with such serious problems caused by environment deterioration as pollution, space press, afforestation degradation and disordering. Kunshan City, one of the most economically vigorous regions in China, has suffered a more prominent confliction between urbanization and environmental safety. In this paper, urban...
With the high-speed urbanization in China today, the scale of urban and rural construction is expanding constantly. In this paper, with the help of remote sensing image processing software, Landsat TM and Spot4 remote sensing images from 1990-2006 were used to extract urban and rural construction land use information firstly. Then with literature, statistical yearbook and relevant information, GIS...
Urban environments represent one of the most dynamic regions on earth. In order to obtain more frequently updated and spatially detailed data on urban phenomena, remote sensing satellites can serve as a valuable instrument. With its ability to image the Earth's surface in nearly all weather conditions, together with its high spatial resolution, synthetic aperture radar (SAR) represents a very powerful...
This paper presents the overall structure and some examples of use for BREC (Building RECognition tool) software, developed by the Remote Sensing Group at the University of Pavia. The software allows detecting the characteristics of built-up areas at different scales, from urban extent delineation to individual building recognition, depending on the remote sensing data in input and their spatial resolution...
The U.S. Geological Survey (USGS) National Land Cover Database (NLCD) 2001 is widely used as a baseline for national land cover and impervious conditions. To ensure timely and relevant data, it is important to update this base to a more recent time period. A prototype method was developed to update the land cover and impervious surface by individual Landsat path and row. This method updates NLCD 2001...
This paper introduces a novel unified framework for change detection in remote sensing images, which compute one local dHOG feature from two images and make classification based on SVM classifier. Compared to the traditional methods, this approach takes advantage of the robustness of the dHOG feature. The inaccuracy and ambiguity with the definition of change can be eliminated by SVM classifier by...
Atmospheric aerosol plays a significant role in radiative budget, climate change, hydrological processes, and the global carbon, nitrogen and sulfur cycles. Aerosol optical thickness (AOT) is a key property used in the characterization of atmospheric aerosol. There is a relatively long history of the quantitative estimation of AOT from remotely sensed imagery; especially the dark object method has...
In this paper, NOAA/AVHRR data were used, which were obtained in winter of 2004 and 2006 respectively. And using NOAA/AVHRR data in spring of 2004 as reference, day-night characteristics and spatial distribution characteristics were received. The following are research results. In the daytime, urban heat island intensity was stronger than that at night. The maximum of urban heat island intensity was...
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