Spectral unmixing helps to identify different components present in the spectral mixtures which occur in the uppermost layer of the area owing to the low spatial resolution of hyperspectral images.Most spectral unmixi...
supported financially by the Second Tibetan Plateau Scientific Expedition and Research Program(STEP,Grant No.2019QZKK0204);the National Natural Science Foundation of China Project(Grant No.4200020124);the Jiangsu Shuangchuang(Mass Innovation and Entrepreneurship)Talent Program(Grant No.JSSCBS20210014)。
Studying the grain-size dependent compositional variability in modern river sediments provides a key to decipher the information stored in the sedimentary archive and reconstruct the evolution of the Earth’s surface ...
supported by the National Natural Science Foundation of China with grant numbers[41890820,42090012,41771452 and 41771454].
Impervious surface mapping is essential for urban environmental studies.Spectral Mixture Analysis(SMA)and its extensions are widely employed in impervious surface estimation from medium-resolution images.For SMA,inapp...
This paper provides a study of the changes in land use in urban environments in two cities,Wuhan,China and western Sydney in Australia.Since mixed pixels are a characteristic of medium resolution images such as Landsa...
Key Program of the National Natural Science Foundation of China (Grant No. U1301253);Guangdong Provincial Science and Technology Project (Nos. 2017A050501031 and2017A040406022);Guangzhou Science and Technology Projects (Nos. 201807010048 and 201804020034);the International Postdoctoral Exchange Fellowship Program 2017 (No. 20170029). The authors would like to express their thanks to European Space Agency for providing Sentinel-1 SAR data as well as ESA-SNAP software in conducting research, our colleagues Haiyan Deng and Li Zhao for their assistance in collecting field validation, and processing images, and the colleagues from the Guangzhou Urban Renewal Bureau for their good suggestions. We also would like to thank the editors and anonymous reviewers for their instructive comments.
Rapid urban sprawl and re-construction of old towns have been leading to great changes of land use in cities of China. To witness short-term urban land use changes, rapid or real time remote sensing images and effecti...
Generally, the content of the hyperspectral image pixel is a mixture of the reflectance spectra of the different components in the imaged scene. In this paper, we consider a linear mixing model where the pixels are li...
The objective function of classical nonnegative matrix factorization (NMF) is non-convexity, which affects the obtaining of optimal solutions. In this paper, we proposed a NMF algorithm, and this algorithm was based...
Non-negative matrix factorization(NMF) has been widely used in mixture analysis for hyperspectral remote sensing. When used for spectral unmixing analysis, however, it has two main shortcomings:(1) since the dimension...
Sponsored by the National Natural Science Foundation of China(Grant No.61405041,61571145);the Key Program of Heilongjiang Natural Science Foundation(Grant No.ZD201216);the Program Excellent Academic Leaders of Harbin(Grant No.RC2013XK009003);the China Postdoctoral Science Foundation(Grant No.2014M551221);the Heilongjiang Postdoctoral Science Found(Grant No.LBH-Z13057)
In conventional linear spectral mixture analysis model,a class is represented by a single endmember.However,the intra-class spectral variability is usually very large,which makes it difficult to represent a class,and ...
Various spectral data preprocessing approaches have been used to improve endmember extraction for urban landscape decomposition, yet little is known of their comparative adequacy for impervious surface mapping. This s...