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This paper presents an approach for the classification of photogrammetric point clouds of scaffolding components in a construction site, aiming at making a preparation for the automatic monitoring of ...
On the basis that the PCA transformation and additive wavelet transformation have their own advantages and disadvantages——higher spatial resolution can be acquired from the PCA transformation; however...
Soil Desertification has severely threatened inner stability and sustainable development in arid areas, so extracting soil desertification information based on remote sensing and mastering its spatial...
The submarine terrain in shallow sea is one of the important factors of the ocean environment, and has important meanings for coastal economics and military activities. For the mapping of the vast in...
Face recognition plays an important role in biometrics base personal identification. The need for reliable recognition and identification of interacting users is obvious. The biometrics recognition ...
The Australian Great Artesian Basin (GAB) supports a unique and diverse range of groundwater dependent wetland ecosystems termed GAB springs. In recent decades the ecological sustainability of the spr...
In this paper, a new object-based wavelet fusion technique is presented for the fusion of multispectral (MS) and panchromatic (PAN) images to improve spatial information and preserve spectral informat...
以大兴安岭为试验区,提出将主成分分析(PCA)得到的第1分量、归一化植被指数(NDVI)和Landsat TM 1~TM 7某一波段进行合成,增强森林覆盖区和背景区信息的反差,并利用最大似然法对影像进行监督分类,分类精度超过92%。通过对不同云雾量和森林覆盖的2个时相影像试验表明,本方法提高了遥感影像森林覆盖信息提取的自动化程度和精度。
光合有效辐射分量(Fraction of Absorbed Photosynthetically Active Radiation,FPAR)是进行生态系统功能和全球变化 研究的重要参数,准确估算FPAR具有重要的意义。通过对野外实测玉米高光谱数据和光合有效辐射数据的分析,探讨了主成分分析 方法在高光谱信息提取及其估算玉米冠层FPAR参数的可行性,在此基础上,结合植被指数验证FPAR估算效果,...

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