supported by National Key R&D Program of China(Grant No.2021YFB3900502);China Postdoctoral Science Foundation(Grant No.2021M700440);National Natural Science Foundation of China(Grant No.61922013);Beijing Natural Science Foundation(Grant No.L191004)。
The ability to capture fine spectral discriminative information enables hyperspectral images(HSIs)to observe,detect and identify objects with subtle spectral discrepancy.However,the captured HSIs may not represent the...
supported by National Key Research and Development Program of China(Grant No.2021YFA0715203);National Natural Science Foundation of China(Grant Nos.62201205,62221002,61890962);Key Laboratory of Visual Perception and Artificial Intelligence Fund of Hunan Province(Grant No.2018TP1013);Changsha Natural Science Foundation of China(Grant No.kq2202170)。
Recently,multispectral image(MSI)and hyperspectral image(HSI)fusion has been a popular topic in high-resolution HSI acquisition.This fusion leads to a challenging underdetermined problem,which image priors are used to...
supported by the Key Research Program of Frontier Sciences,Chinese Academy of Sciences(Grant No.QYZDY-SSW-JSC044);National Natural Science Foundation of China(Grant No.61871470)。
Most methods for hyperspectral anomaly detection(HAD) construct profiles of background pixels and identify pixels unconformable to the profiles as anomalies. Recently, isolation forest-based algorithms were introduced...
partially supported by National Natural Science Foundation of China (Grant No. 61671383);Seed Foundation of Innovation and Creation for Graduate Students in Northwestern Polytechnical University (Grant No. CX2020020);Hong Kong RGC (Grant No. 9042820 (CityU 11219019))
Hyperspectral remote sensing is well-known for its extraordinary spectral distinguishability to discriminate different materials.However,the cost of hyperspectral image(HSI)acquisition is much higher compared to tradi...
supported by National Key Research and Development Project of China(Grant No.017YFB-0503903);National Natural Science Foundation of China(Grant Nos.61922013,61421001,U1833203);Key Scientific and Technological Projects in Henan Province(Grant No.192102210106);Beijing Natural Science Foundation(Grant No.L191004)。
Collaborative representation-based detection(CRD)has been developed in hyperspectral anomaly detection tasks and testified to be very effective;however,heterogeneous pixels in the background may affect the accuracy of...
supported by National Natural Science Foundation of Key International Cooperation of China(Grant No.61720106002);National Key R&D Program of China(Grant No.2017YFC1405100)。
Since the advent of hyperspectral remote sensing in the 1980 s,it has made important achievements in aerospace and aviation field and been applied in many fields.Conventional hyperspectral imaging spectrometer extends...
supported by National Nature Science Foundation of China(Grant Nos.61973285,61873249,61773355,61603355);National Nature Science Foundation of Hubei Province(Grant No.2018CFB528);Opening Fund of the Ministry of Education Key Laboratory of Geological Survey and Evaluation(Grant No.CUG2019ZR10);Fundamental Research Funds for the Central Universities(Grant No.CUGL17022)。
Sample generation is an effective way to solve the problem of the insufficiency of training data for hyperspectral image classification.The generative adversarial network(GAN)is one of the popular deep learning method...
supported by the National Basic Research Program of China(Grant Nos.2007CB714406, 2007CB714401,2007CB403507);the National Natural Science Foundation of China(Grant No.40501041);the National Science Foundation of USA(Grant No.0421530)
This paper gives the definition of the high-dimensional cross product and its calculation by extending the 3-D cross product definition into the high-dimensional vector space, Based on the properties of the cross prod...
supported by the National Natural Science Foundation of China(Grant Nos.40576080,40730843);the National High-Tech Research & Development Program of China(Grant Nos.2007AA12Z182,2002AA639220);the National Science & Technology Pillar Program(Grant Nos.2008BAC42B02,908-01-wy03)
The accuracy of the satellite-measured reflectance is a key question for data processing and oceanographic applications. A hyperspectral satellite remote sensing reflectance evaluation model (HRSREM) was developed to ...