15 October 2005, Volume 20 Issue 5
    

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  • KONG Xiang-Sheng, MIAO Fang, LIU Hong-Fu, DONG Yu-Yang
    Remote Sensing Technology and Application. 2005, 20(5): 460-464. https://doi.org/10.11873/j.issn.1004-0323.2005.5.460
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    In recent years, although the government has carried out some serious investigation and effort to shut down the indigenous coke-production, it has not achieved effective control. There are still a lot of problems and the situation is still severe. One of the important measures towards to solving the problem is to improve the monitoring level. As the big producing province, southeast of Shanxi in China was chosen as the study area for this paper. Against the background of the Landsat5 data of this area in 1999 and 2004, the information about indigenous coke-production was extracted through TM751 and TM721 band compositions technology. The results showed that TM7 channel was the most sensitive to indigenous coke-production, where the reflectance value manifested the “peak” configuration as a flag of the indigenous coke-production. TM5 channel was the second most-sensitive to coke-production. According to the spectral profiles, TM7 and TM5 critical values of indigenous coke-production were given. The higher the coke-making temperature, the nearer the band was to TM5 channel. TM751 band compositions can be used to interpret indigenous coke-production over 90% accuracy identified by the ground check. During 5 years, the quantity of indigenous coke-production, distributed mainly on the plain in districts of population concentration, increased by 10 times and the indigenous coke-production had caused serious pollution to the environment. Some control strategy was proposed in the last paper. These findings contributed to the scientific foundation for accurately monitoring the dynamics of indigenous coke-production at large scale, and offered a kind of brand-new, quick technological method in monitoring indigenous coke-production.

  • CHEN Yan, NIU Zheng, JIU Qi-Long, WANG Wen
    Remote Sensing Technology and Application. 2005, 20(5): 465-468. https://doi.org/10.11873/j.issn.1004-0323.2005.5.465
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    Several vegetation canopies have a two-layer structure. In forests a moss or lichen layer is on ground surface under grass layer. In field crops a thin weed layer on ground under crop canopy is rather common. Both, optical and structural parameters of these two layers may be rather different and if we use homogeneous canopy reflectance (CR) models for the calculation of the directional reflectance of such canopies using mean (weighted mean) values of phytometrical and optical parameters we may have systematic errors in reflectance values. In this article, based on the two-layer canopy reflectance model ACRM, canopy reflectance angular distributions with wavelength 820 nm and 1 600 nm are simulated under the influence of LAI (leaf area index), Cw (water content)and N (a structural parameter). Research results indicate that the hot spot effect can be simulated precisely. The sensitivity of canopy reflectance angular distributing to LAI is less than to LAI-Cw and LAI-N. Reflectance angular distribution at 1 600 nm wavelength is strongly related to LAI and Cw while reflectance at 820nm is appreciable larger than the one at 1 600 nm under LAI and N effect. Besides, using information contained in near-infrared (820 nm)and short-wave infrared (1 600 nm) canopy reflectance we proposed a soil-adjusted water index which is employed to retrieve the canopy water content is also greatly influenced by canopy structure. Canopy structure is worth considering in the process of model selection henceforth.

  • LIANG Gong-Xia, DIAO Chun-Jiang, HUANG Wen-Jiang, MA You-Hua, LIU Liang-Yun, WANG Ji-Hua, XUE Xu-Zhang
    Remote Sensing Technology and Application. 2005, 20(5): 469-473. https://doi.org/10.11873/j.issn.1004-0323.2005.5.469
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    Among plant nutrients, nitrogen (N) is the most important and essential for growing crops and is also most concerning nutrient element for maintaining healthy environment. In 2001, N fertilizer prices nearly doubled as a result of increased natural gas prices. This was further troubling when considering that the world N use efficiency (NUE) in cereal grain production averages only 33%.Considering these poor use efficiencies and the associated costs of improper management, technological advances are needed to reduce excess nutrient applications. From the last few years, precision agriculture has been used widely as a management tool to maximize yield and to minimize cost. The GPS and GIS technology has been a basis for precision farming and site-specific application of agricultural chemicals and nutrients has been one of the major concerns in precision farming. By applying nitrogen only where it is needed, farmers could optimize yield while minimizing the cost. The ultimate goal of this research is to develop a real-time multispectral sensor that can detect nitrogen deficiency in winter wheat plant using spectral response from plant canopies.This research was conducted to explore the feasibility of using spectral reflectance to predict nitrogen content in winter wheat plant varieties with varying color. The paper presents a statistical analysis on the feasibility of directing variable rate technology with spectrum characteristic parameters (OSAVI) of winter wheat erecting and elongation. Through analysis of OSAVI and yield, the spectrum characteristic parameters was closely correlated to the grain yield, it can be used to determine the in-season predicted grain yield. the result of variable -rate technology revealed that variable-rate technology ameliorated the winter wheat growth condition, improved the total dry biomass and yield, decreased the variety of yield and increased the winter wheat yield significantly. but it increased the variety of grain quality among each treatments, the protein content and wet gluten were decreased slightly too.
  • YANG Mao-Long, XIA De-Shen
    Remote Sensing Technology and Application. 2005, 20(5): 474-477. https://doi.org/10.11873/j.issn.1004-0323.2005.5.474
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    It is very important to the next campaign step of the real-time evaluation of the object damage degree such as airport in the future war. The runway is the main part of the airport, to detect its change is the first step to evaluate the attacking effect to the airport. There are many questions should be considered in change detecting in runway's damage recognition, including images' quality, registration, changed region detecting, region of interesting detecting, change measurement and evaluation. Correlative questions such as change detecting parameters, the theory and the algorithm of runway change detecting are discussed in the paper. Gradation, texture, linear distributing, edge and corner of the image are considered to solve the question. Change detecting is done in little windows of two images of the same region which were obtained at different time, and the 4 texture parameters——contrast, energy, entropy and relativity——can be used to describe the window image's information. The method of correlation coefficient is used in the paper, and the experiment result shows that the algorithm can detect the significant changes of the runway after striking in space reconnaissance images when the appropriate window size and the proportion of the correlation coefficient are chosen.
  • GU Ling, Diao-Yun-Sheng, Zhang-Jian-Hui, Dong-Gui-Hua-
    Remote Sensing Technology and Application. 2005, 20(5): 478-482. https://doi.org/10.11873/j.issn.1004-0323.2005.5.478
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    As a kind of base geographical information, road extraction from satellite images is important in practice a theory of automatic satellite images recognition. The classification and measuring for geometrical objects of a city will be simplified if its main road network could be automatically extracted from satellite images. This paper is based on combine the superiority of computer and man on detect and identify, present a semiautomatic extraction method of road on satellite image. In this approach, we discussed a method based on image texture characters through designing filter cluster for detection and recognition. The filter cluster includes two filters, one is the high pass filter through which the borderline characteristics of the object in imagery can be detected, another is the statistical filter through which some noise made by high pass filter can be abated. In process of high pass filtering, how to select the size of filtering window is very important to precision. We had designed a proportion factor to depict processing result. The test result indicated that the 7*7 filter window was the most appropriate in this research. A comparison of differences was finished between the result by traditional method and by multi-filter. The vector layer gained though multi-filtering has fewer noises than those only through single filtering. The result of test indicated that multi-filter method could improve the precision of analysis, Experimental results on ETM+, and the result of the text indicated that this method could possibility of extracting semiautomatic the road information layers from middle satellite imagery, and provided technology basis for application of middle-resolution satellite imagery.
  • Xue Dong-Sheng , YIN Dong
    Remote Sensing Technology and Application. 2005, 20(5): 483-488. https://doi.org/10.11873/j.issn.1004-0323.2005.5.483
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    In this paper, a technique to tunnel entries automatic recognition from super resolution remote sensing images is presented. First, it screen a majority of irrelevant objects such as mountain and woods in remote sensing images, and extract the area which include potential road information from remote sensing images. Because these task are for reducing the area which include road seed and shortening the time for searching road, so it is based on simple and quick threshold segmentation. In the potential road area, it automatically find road seed in terms of improved randomized Hough transformation (GRHT), which is superior to traditionary randomized Hough transformation on detecting speed and detecting precision, then automatically search road from road seed point according to tactic of dynamic programming. Lastly, it find entries of tunnels through estimating the function of expense that has be used to search road from road seed and texture feature of mountain. The function of expense and the texture feature of mountain are key of find entries of tunnels, in this paper, they all are based on classical technique. Every step of the algorithm can automatically run. The experiment has based on QuickBird images and the result of experiment shown that this technique is primarily effective and that result of detecting is satisfiable.
  • ZHONG Bei, LIU Qin-Huo, LI Jing, FU Jie-Hua, CHEN Liang-Fu, LIU Jiang
    Remote Sensing Technology and Application. 2005, 20(5): 489-495. https://doi.org/10.11873/j.issn.1004-0323.2005.5.489
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    Land surface temperatures during Jiashi earthquakes, Xinjiang have been retrieved from NOAA/AVHRR imagery around Jiashi, Xin Jiang province (36°~43°N、73°~85°E) by using “split window” algorithm. Then, they are combined with geology conformation characteristics to analyze the Jiashi earthquakes from February 24 to April, 2003. Time series analysis method is employed to analyze the changes before and after the earthquakes, which is a new attempt for thermal-infrared abnormal information mining. Temporal and spatial temperature changes are analyzed and results may be helpful for earthquake abnormal precursor detection.
  • GE Wei-Jiang, ZHOU Gong-Mei, TU De-Ji
    Remote Sensing Technology and Application. 2005, 20(5): 496-500. https://doi.org/10.11873/j.issn.1004-0323.2005.5.496
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    In the past several years, Shanghai highly extends its greenbelt. In urban planning, governors urgently wonder how much green area is reasonable. The suitable green area can not only reduce the peripheral temperature, but also have moderate bound to decrease the fee of demolishing residential districts. In this paper, the method combining the remote sensing and geographic information system is used to analyzing the current urban greenbelt and thermal distribution. Thermal isoline shaped with China-Brazil Resources satellite No.1 infrared band reflects detailed thermal distribution. Relatively isolated greenbelts are buffered to do pretreatment with Arc/info soft for cutting overlapping area, then these regions become the analysis area. There is good relation between low temperature and green area by analyzing separate green buffer area, which gives fitting formula to calculate the distance of thermal influence around the greenbelt. Therefore, urban greenbelt is the main factor influencing temperature. But in some special conditions, the temperature around the greenbelt fluctuates with strong thermal source, dense high building, ground character.
  • HE Quan-Jun, WU Zhi-Jun, ZHANG yue-Wei
    Remote Sensing Technology and Application. 2005, 20(5): 501-505. https://doi.org/10.11873/j.issn.1004-0323.2005.5.501
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    The thermal environment and thermal effect is one of the most important research contents in city climate and environment. Land surface temperature (LST) is one of the most important ways to research thermal environmental problem of earth surface. Contrast with AVHRR which was widely used to retrieve LST in china MODIS is more sensitive and accurate. In this paper, the retrieval means of LST was expounded, and LST of Guangzhou city was retrieved using MODIS split windows algorithm of NASA on the base of cloudless MODIS thermal infrared data which was collected in summer of 2004. The distribution image of urban thermal field was executed after the density slice was applied to LST. Through contrasting different seasonal LST Images and statistic value, the spatial pattern of thermal environment was analyzed in detail. From the distribution image can shows that the center of thermal fields is consistent with layout of city and type of surface features, also from the contour and temperature value can find out that the temperature difference between urban and suburb was thundering evident, which has almost reached at 3~4℃. The research result shows that Urban heat island effect is very serious in Guangzhou city.
  • WU Chuan-Qiang,Tong qiang-Xi, ZHENG Lan-Fen
    Remote Sensing Technology and Application. 2005, 20(5): 506-511. https://doi.org/10.11873/j.issn.1004-0323.2005.5.506
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    In the research of hyper-spectral remote sensing, we need combine field spectra and image spectra to analyze. The correct collection of field spectra and pre-process of two kinds of spectra are often ignored by us, for there is little relationship between them and information analysis. In fact, before analysis directly, the raw data gotten from field or from remote sensing need format-change and de-noise etc. Though there are many books about spectra analysis now, none of them introduce how to collect spectra or spectra pre-process. Many persons who just begin to deal with hyper-spectral always feel confused. The author of this article has taken part in many projects about field spectra collection and airborne remote sensing, pre-processed a lot of field and image spectra in these years. This article introduces the author's experience and methods summarized from experiments from three aspects: ①how to collect field spectra correctly; ②how to pre-process field spectra; ③how to pre-process remote sensing images with field spectra. In this paper, the field spectra are collected by ASD --FR2500 and images are OMIS images. Data from other spectral apparatus and remote sensors can be dealt with analogously.

  • MIN Lian-Quan
    Remote Sensing Technology and Application. 2005, 20(5): 512-516. https://doi.org/10.11873/j.issn.1004-0323.2005.5.512
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    Image encryption is the premises of secret image transmission in network. The paper discusses the characteristics of chaotic sequence and Blum-Blum-Shub generator, and generates position scrambling matrix and coefficient disturbing matrix. Then two matrixes was used to encrypt image DWT coefficient, and experimental results show that the algorithm is fairly good in efficiency and practicality.
  • WANG Xiang, LIU Hao
    Remote Sensing Technology and Application. 2005, 20(5): 517-520. https://doi.org/10.11873/j.issn.1004-0323.2005.5.517
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    Geometric correction is a very important step in remote sensing image processing. The collection of ground control point can greatly influence the accuracy and efficiency of that process. This article compares the advantages and disadvantages among several methods of collecting Ground Control Point through the practice of geometric correction of SPOT5.The article also summarizes and explores the methods on how to process the remote sensing images based on digital raster graphic.

  • WANG Pei, Yang Ru-Liang
    Remote Sensing Technology and Application. 2005, 20(5): 521-525. https://doi.org/10.11873/j.issn.1004-0323.2005.5.521
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    High range resolution(HRR) is an important aspect of the development of Synthetic Aperture Radar. High resolution in range is in proportion to the bandwidth of transmitted signal. In the application of space bore SAR, the increase of system instantaneous bandwidth will cause much difficult in generating, transmission and receiving of the signal for the limitation of hardware. So generation of wide bandwidth signals in current hardware level, and improvement of range resolution with no increasing of system instantaneous bandwidth by employing new waveforms have significant meaning and high practical value. The synthetic bandwidth technique employed stepped chirp is one effective method with such characteristic. The principle of the method is introduced, and simulation of synthetic bandwidth is carried out. The hardware circuit of the generation of stepped chirp based on FPGA is Presented. The experimental result of the generator output on the medium frequency is acquired, and then the combination of 3 sub |pulse with 30 MHz bandwidth to one 90 MHz bandwidth signal is implemented, which show that high range resolution by means of synthetic bandwidth generated by stepped chirp is correct, effective and practical.

  • FENG Jun, ZHENG Jun-Wei
    Remote Sensing Technology and Application. 2005, 20(5): 526-530. https://doi.org/10.11873/j.issn.1004-0323.2005.5.526
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    Based on the information Platform of ISI Web of Knowledge and Derwent Analytics Software, this article compared and analyzed the theses of remote sensing science in Science Citation Index (Expanded) from 1995 to 2005 in different aspects. Then it discussed the status and trends of international remote sensing science and application, compared the output of theses of different institutions, and analyzed the development status of Chinese remote sensing research in the international background according to the bibliometrics especially. Some questions that need to study in remote sensing disciplinarity bibliometrics and information analysis in future were put forwarded in the end.
  • LIU Hai-Yan, Niu Zhen-Guo, CHEN Xiao-Ling
    Remote Sensing Technology and Application. 2005, 20(5): 531-526. https://doi.org/10.11873/j.issn.1004-0323.2005.5.531
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    MODIS (Moderate Resolution Imaging Spectroradiometer) is one of the most distinctive apparatus at the second stage of EOS (Earth Observation System) plan from 1999. Compared with the AVHRR, the data of MODIS has 36 bands and higher resolution (250~1 000 m) and the semidiurnal data can be obtained free according to the policy of NASA, so it is playing a significant role in geography and ecological science studies. This paper firstly introduces the theory and leading indices in crop monitoring with MODIS data in brief. Then it analyses application status and prospects of crop monitoring with MODIS data recently in China, such as the monitoring of crop growth, the calculation of crop area, the estimation of yield and the monitoring of meteorologic disaster and crop pest. At last, several aspects in the studies mentioned above that should be enhanced were evaluated and explored.
  • ZHOU Wei-Feng, WU Bing-Fang
    Remote Sensing Technology and Application. 2005, 20(5): 537-542. https://doi.org/10.11873/j.issn.1004-0323.2005.5.537
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    Soil erosion is the main reason for environment degradation globally. China is undergoing the severest erosion. Remote sensing is the only method that can monitor land exhaustively and directly by providing good coverage of the earth at a great range of scales. Since 1970s people have already utilized remote sensing to monitor soil erosion and do risk assessing. This paper tries to gather and review the currently remote sensing approaches in soil erosion monitoring. This paper describes several methods for effective erosion monitoring of large land areas, including: visual interpretation, vegetation index derivation, digital image classification, spectrum mixture modeling, digital elevation analysis obtained by orthorectified aerial photography. This paper discusses the dominances and limitations of these methods. We can choose a suitable method depending on the extent of erosion information obtained, application objectives, accessed data and other aspects. In China visual interpretation is the general |used method among these methods. Vegetation index derivation can be combined with soil erosion model well. Other methods were used less. With the development of remote sensing, it can be believed that remote sensing techniques would empower land managers to dynamically use satellite imagery for environmental management. The relationship of dynamic change detection and soil erosion mechanism, different resolution image integration use and microwave application in soil erosion monitoring should be paid more attention in coming research.