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基于时间序列统计特性的森林变化监测 总被引:1,自引:0,他引:1
森林动态变化分析对揭示生态系统环境变化及植被恢复和布局重建等具有重要意义,时间序列的遥感数据为森林监测提供了基础数据。本文根据森林植被的统计学特性,在暗目标法的基础上,利用归一化植被指数NDVI实现森林样本自动选择;并融合NDVI构建了新的综合森林特征指数(Integrated Forest Z-Score,IFZ);以时间序列的IFZ分析森林动态信息,实现森林变化动态监测。以三峡大坝及周边区域森林为研究区,利用2001年至2012年每年生长季节(5月—10月)的Landsat TM影像检验本文算法。基于2002年、2006年和2010年三期7月—9月的Quick Bird影像的精度分析结果发现:研究区森林变化检测的总体精度可达96.53%,Kappa系数为0.9512。在添加NDVI指数后构建的IFZ提高了总体监测精度。其中,毁林类别的检测精度提高显著,漏检率和误检率分别为2.74%和3.64%;干扰后重建的森林类别的检测精度有一定提高,其漏检率和误检率分别为10.79%和10.51%。研究结果表明,改进暗目标法能提高森林样本的选样效率,添加NDVI的IFZ能提高森林动态变化的识别度。此外,本算法不仅能定性识别森林变化,而且能定量提供森林干扰发生时间和干扰强度。 相似文献
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Solar Physics - A curved filament in a decaying active region (AR&;nbsp;8329) was observed on 9 September 1998 with a combination of several instruments. The main data base is a 4-hour long time... 相似文献
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Sequential observations at Huairou Solar Observation Station, China, and Kitt Peak, U.S.A., show that polar magnetic elements can live from several to more than 58 hours. This enables measurement of the solar rotation rate near the polar region by tracing magnetic element motions. With observations carried out on 8–15 July 1997, we identify and trace more than 1300 elements at north heliographic latitudes between 55°–85° using two methods, and fit the mean sidereal rotation rate as =14.0±0.54–(2.24±1.22)sin2–(1.78±0.79)sin4 deg per day. 相似文献
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Comparison of the Different Classifiers in Vegetation Species Discrimination Using Hyperspectral Reflectance Data 总被引:1,自引:0,他引:1
Yuanyong Dian Shenghui Fang Yuan Le Yongrong Xu Chonghuai Yao 《Journal of the Indian Society of Remote Sensing》2014,42(1):61-72
Feature selection methods play an important role in Hyperspectral Remote Sensing applications, especially in classification. This paper proposed a new Feature selection strategy for Hyperspectral dataset. This strategy was designed to help refine vegetation classification of 4 categories with 13 species vegetation which are the most common species in central China. An ASD field spectrometer (Analytical Spectral Device) was used to collect spectrum information of plant leaves from each species through 400 nm to 900 nm with 1 nm spectral resolution. Firstly, correlation between the physical/chemical characteristics of the leaves and the separability of each vegetation species was tested. Then, two feature selection methods, spectral angle and spectral distance, and the feature parameters extracted from spectral curves (FPESC) were used to build the feature space which would be the input space for the classifiers. At last, two linear classifiers, mahalanobis distance (MDC), and fisher linear discriminate analysis (FLDA), and a quadratic classifier, maximum likelihood (MLC), were used for vegetation species refine classification. The results showed that (1) there were no significant differences among 13 species on the leaf dry weight (physical parameter) and leaf chlorophyll content (chemical parameter); (2) FPESC of 13 species have distinctive differences and could be ideal features to discriminate these species; (3) The linear classifiers, MDC and FLDA, have better classification results in the experiments compared to the quadratic classifier MLC, where MDC has the highest classification accuracy which is above 96.2 %. 相似文献
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目的 根据高空间分辨率影像上变化区域呈聚集状分布的特点,提出了一种面向地理对象的遥感影像变化检测算法。在利用 Mean-Shift分割算法的基础上,获得不同时相地理对 象 的 灰 度特征 信息,结合 变 化 矢量 分析,采用最大数学期望算法自动提取变化区域。以 QuickBird、SPOT、TM 三组不同空间分辨率的影像进行算法验证并比较了该方法与单像素变化检测算法的差异。结果表明,三组影像中面向对象的变化检测算法的检测精度分 别 为 91.1%,87.3% 和 84.3%,单像素 的 变 化 检 测算法 检测精度分别为 86.41%,82.48% 和81.02%。试验结果显示面向对象的算法检测精度高于基于单像素的变化检测算法,且对高空间分辨率的影像检测效果要优于对中低空间分辨率的影像的检测效果。该算法减少了变化阈值确定中的人工干预,克服了以像素为单位的变化检测算法中由于缺少空间邻域信息而产生孤立、离散、不连通变化结果的问题,能够满足在不同土地覆盖类型下的变化检测要求,在国土资源监测中具有一定的使用价值。 相似文献
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Shuo Wang Yuanyong Deng Rajmal Jain Vasyl Yurchyshyn Haimin Wang Yuanyuan Liu Zhiliang Yang 《Journal of Astrophysics and Astronomy》2008,29(1-2):57-61
In this paper, we study the evolution of vector magnetic field of AR 10656 by using the observations of Huairou Solar Observing Station (HSOS, China) and Big Bear Solar Observatory (BBSO, USA). The magnetic flux emergence and cancellation, and thus, magnetic nonpotential changes, are associated with the major flares in this active region. Compared with some other super-active regions, the evolution of magnetic morphologies and non-potentialities are relatively gradual, and thus the energy transportation and release are relatively slow. This gradual process may result in the recurrent flares of AR 10656. 相似文献
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Based on photospheric vector magnetograms obtained at Huairou Solar Observing Station, we have studied the evolution of magnetic
nonpotentiality in NOAA AR 9077 from 11 to 15 July 2000. We focus our analysis on the daily change of nonpotential characteristics
in the photospheric magnetic field preceding the `Bastille Day' flare. We have identified the following evolving patterns:
(1) The shear-angle distribution underwent dramatic change in the filament channel. At a key site of the filament environment,
the magnetic shear changed sign from positive to negative. (2) The old current systems disrupted, and new but weaker systems
formed before this major event. Similar changes are identified for the longitudinal current helicity. (3) The source field
weakened before the flare, and the density of free magnetic energy decreased at the photospheric level. These obvious changes
lasted at least nine hours before the `Bastille Day' flare, and they took place where a large amount of magnetic flux disappeared
in magnetic flux cancellation. The site of dramatic changes is also found to coincide with the base of helical magnetic ropes
which were seen in a 3-D force-free reconstruction. We suggest that the observed evolution of the magnetic nonpotentiality
represents a continuous transportation of magnetic energy and complexity from the lower atmosphere to the corona. This transportation
seems to be responsible for the energy build-up for the major flare. Moreover, the slow magnetic reconnection in the lower
atmosphere, observed as magnetic flux cancellation, appears to play a key role in this energy build-up process.
Supplementary material to this paper is available in electronic form at http://dx.doi.org/10.1023/A:1014258426134 相似文献
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精细准确预报大风风速对于风功率预报和风灾防御具有重要意义。本文以上海市域为研究区域,基于形态学方法估算上海市域空气动力学粗糙度分布,并通过近地层分层风速插值方法推算上海市域10 m高度精细风速分布。针对2016年1月23日20时—24日20时一次大风过程开展实证检验,对比分析降尺度模拟风速、地面实测风速、ECMWF预报10 m风速的空间分布、时间变化以及垂直廓线特征。结果表明,该方法可以较好地模拟上海市域风速大小的精细空间分布,模拟精度总体上表现为中心城区精度高、郊区精度稍低,但相比于ECMWF预报10 m风速分布有了明显提高,可以为风速的精细化预报提供技术支撑。 相似文献