全部文献期刊会议图书|学者科研项目
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作者:Rui Hou , Yang Hu , YunHao Zhao ...
来源:[J].Signal Processing: Image Communication(IF 1.286), 2020, Vol.83
摘要:Abstract(#br)In order to alleviate the overfitting problem caused by image quality evaluation (IQA) model learning under intolerably small dataset, this paper proposes a multi-feature fusion-based deep architecture for hyperspectral image quality assessment. First, eight key IQA-...
作者:Beibei Jia , Wei Wang , Xinzhi Ni ...
来源:[J].Chemometrics and Intelligent Laboratory Systems(IF 2.291), 2020, Vol.198
摘要:Abstract(#br)Hyperspectral images integrate spatial and spectral details together. They can provide valuable information about both external physical and internal chemical characteristics of agricultural and food products rapidly and non-destructively. Despite rapid improvements ...
作者:Shuo Yang , Ziyang Song , Hongyi Yuan ...
来源:[J].Infrared Physics and Technology(IF 1.364), 2018, Vol.94, pp.151-155
摘要:Abstract(#br)Hyperspectral image target detection is an important application for both of its civil and military uses. Traditional hyperspectral image target detection algorithms are usually designed based on the second-order statistics of the data where it is assumed that the ta...
作者:Lefei Zhang , Liangpei Zhang , Bo Du ...
来源:[J].Information Sciences(IF 3.643), 2019, Vol.485, pp.154-169
摘要:Abstract(#br)Hyperspectral remote sensing image unsupervised classification, which assigns each pixel of the image into a certain land-cover class without any training samples, plays an important role in the hyperspectral image processing but still leaves huge challenges due t...
作者:Onuwa Okwuashi , Christopher E. Ndehedehe
来源:[J].Pattern Recognition(IF 2.632), 2020, Vol.103
摘要:... However, the classification problems, complexity and inconsistency in several spectral classifiers developed for hyperspectral images are some reasons warranting further research. This study investigates the application of Deep Support Vector Machine (DSVM) for hyperspectral image...
作者:Yanshan Li , Qingteng Li , Yan Liu ...
来源:[J].Pattern Recognition Letters(IF 1.266), 2019, Vol.127, pp.18-26
摘要:Abstract(#br)The scale-invariant feature transform (SIFT) is known as one of the most robust local invariant feature and is widely applied to image matching and classification. However, There is few studies on SIFT for hyperspectral image (HSI). Hyperspectral image (HSI) embraces...
作者:Leyuan Fang , Haijie Zhuo , Shutao Li
来源:[J].Neurocomputing(IF 1.634), 2018, Vol.273, pp.171-177
摘要:Abstract(#br)In this paper, a novel superpixel-based sparse representation (SSR) model is proposed for hyperspectral image (HSI) super-resolution. Specifically, given a HSI with low spatial resolution and a multispectral image (MSI) with high spatial resolution, the proposed SSR ...
作者:Min Han , Chengkun Zhang
来源:[J].Neurocomputing(IF 1.634), 2017
摘要:Abstract(#br)The last few years have witnessed the success of sparse representation in hyperspectral image classification. However, the high computational complexity brings some worries to its applications. In this paper, a novel sparse representation based feature extraction alg...
作者:Xiaorui Ma , Hongyu Wang , Jie Wang
来源:[J].ISPRS Journal of Photogrammetry and Remote Sensing(IF 3.313), 2016, Vol.120, pp.99-107
摘要:Abstract(#br)Semisupervised learning is widely used in hyperspectral image classification to deal with the limited training samples, however, some more information of hyperspectral image should be further explored. In this paper, a novel semisupervised classification based on mul...
作者:Dongyu Zhao , Shiping Zhu , Fengchao Wang
来源:[J].Computers and Electrical Engineering(IF 0.928), 2016, Vol.54, pp.494-505
摘要:Abstract(#br)Recently, hyperspectral image compression has become an urgent issue for remote sensing applications . A lossy hyperspectral image compression scheme based on intra-band prediction and inter-band fractal encoding is put forward in this paper. The hyperspectral image ...

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