Advanced Materials Research Vols. 1073-1076

Abstract: This paper presented a new method to evaluate Remote Sensing image quality, by comparing ZY1-02C, ZY3, and SPOT5 images on the engineering quality and spectral quality. It is important to explore new options to evaluate different Remote Sensing image sources quality, in order to ensure the users could apply a best fit data source to environmental monitoring, ecological monitoring and so on. In this article, there were three aspects in the engineering quality assessment part, including the statistical character, the texture and the energy. And in the spectral quality assessment part, the imaging space, the curve space and the characteristic space were built to compare and measure different spectral ability of extracting ground objects among ZY1-02C, ZY3 and SPOT5 images. The result shows such a Remote Sensing image quality assessment can be generalized to choose suitable data source for some specific field.

Abstract: Combined with the experimental tunnel actual environment to select the appropriate control points as the logo, layout tunnel three dimensional modeling control network. using high-precision total station TM30 to control, measure and acquire image control points coordinate. in the following field collection imaging principle, the actual target of image acquisition, 3D modeling of tunnel based on the software platform of Lensphoto, the research results show that, the tunnel homonymous control point coordinates measured by Lensphoto three-dimensional model and using high-precision total station TM30 observations are of basic agreement, the error in the centimeter level, verified the feasibility of using digital close range photogrammetry in actual measurement of tunnel engineering,has the long-term guiding significance to the tunnel three-dimensional digital information collection and safety production.

Abstract: A comprehensive analysis on the statistical data about the energy, environment, population and development of the social economy, is the necessary condition to solve regional environmental and social problems and to realize the sustainable and scientific development. But different statistical unit is the main obstacle of the integrated application of statistical data. Practice show that statistical data spatial gridding is an effective way to solve this problem. This paper presented the factor-based statistic spatial gridding process for the sum variable. This method firstly determined the factors that affecting the spatial distribution of statistical objects. Then it used the AHP method to obtain the weight of each factor, and applied the weights to grid calculation. The experiment proved that this method made the grid result more realistic.

Abstract: Topological relations between rivers (TRR) are sophisticated for rivers are shown as various patterns in Geographical Information Sciences (GIS). In this paper, basic models which were simplified into directed lines (DL) and directed bandings (DB) were used to represent TRR. Based on the nine-intersection model (NIM), topological relations (TR) were represented into 3 types of DL-DL TR, 7 types of DL-DB TR, and 8 types of DB-DB TR. Otherwise, the four-intersection model (FIM) and common region-region topological relations were testified not suitable to represent TRR in updating increments (UI).

Abstract: In recent years, issues including thinner plough layer of the cultivated land, water and soil loss of the arable soil, secondary salinization of the soil, desertification, soil acidification, soil pollution, soil quality degradation and others are increasing day by day, in order to safeguard food security of our province, increase rural income and accelerate agricultural development, it is needed to strengthen the protection of the important basic resources of cultivated land. Through evaluating the cultivated land quality and establishing the database of the cultivated land level, it can directly provide the basis for the food production and crop planting structure adjustment. Accordingly it can develop featured agriculture, exert the regional advantage as well as improve the utilization efficiency of the cultivated land resources. Take JY city as an example, the basic data of the cultivated land quality can be obtained by evaluating the cultivated land quality of JY city.

Abstract: By using hyper-spectral remote sensing data of desert vegetation, the original spectral data was simply pretreated firstly, then first order differential transform and smoothing was the hyper-spectral data. The spectral characteristics of different grassland types were extracted. The results showed that: desert vegetation has some unique spectral features of common green vegetation. However, affected by the underlying surface of spared leaves, low coverage, the spectrum of desert vegetation does not have obvious green peak, and the red edge characteristics decreased with the decline of vegetation coverage.

Abstract: This paper calculated THI and K with GIS technology, and analyzed the tourism climate comfort level of East China based on the monthly average meteorological data of 30 years from 132 whether stations in East China. Results show that THI of East China decrease gradually from south to north, from low altitude to high altitude. The annual period of comfortable climate is longer when analyzed in terms of K rather than THI. The tourism climate comfortable period of East China shows significant regional difference, the maximum value distributed around Fujian province, and the minimum value distributed around Tai Mount in Shandong province. The predominant length of climate comfortable period in China is 5 months per year, while areas that have climate comfortable period for 10 months are most limited.

Abstract: With 3S comprehensive analysis on vegetation and the further development of hyper-spectral technology, the dynamic monitor of large area vegetation in long-term has become the trend. Intelligent process, combined the remote sensing data and field data, constructing dynamic monitoring model, plays an important guilding role in ecological security and balance. By using hyper-spectral remote sensing data of desert vegetation, three groups of spectral characteristic parameters were selected as input data of typical desert vegetation in the research, and vegetation types were selected as output data. Typical vegetation classifier was constructed based on the BP neural network model to study the vegetation classification.

Abstract: Space borne high-capacity solid state recorder (SSR) is an inevitable chain of the space scientific data acquirement system. It has become a common device in spacecraft gradually. This paper presents the design and accomplishment of the large capacity SSR design based on NAND flash of the satellite SJ-10. The SSR improves its writing speed significantly by applying multi-pipeline writing technique. External SDRAM is used as the channel cache of the multi-channel data flows to increase the cache capacity and system throughput speed. In addition, the EDAC processing, data flow combining and separating can enhance the stability of the storage system as well as the data efficiently. The implementing of multi-channel has also laid the foundation for file system management of the space borne storage data. The simulation of multi-channel data flow is given in this paper.

Abstract: Synthetic aperture radar (SAR) can obtain remote sensing data under all-weather and all-time, but the imaging principle is very complex and the right interpretation is more difficult. In this paper, using the characteristics of non-subsampled Contourlet transform (NSCT), including multi-scale, multi direction, anisotropy and shift invariant, the microscopic analysis and extraction of multi-scale features of SAR images is fully discussed. The purpose is to supply right interpretation for SAR image applications. The practical SAR image data is decomposed by NSCT and the decomposition coefficient features are extracted and discussed.