Zobrazeno 1 - 10
of 273
pro vyhledávání: '"Jiande Sun"'
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 17, Pp 4597-4610 (2024)
Currently, convolutional neural networks and transformers have been the dominant paradigms for change detection (CD) thanks to their powerful local and global feature extraction capabilities. However, with the improvement of resolution, spatial, spec
Externí odkaz:
https://doaj.org/article/15dd1a9e86074006a4c7e63f9a13c45f
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 15, Pp 3576-3588 (2022)
Pansharpening aims to obtain high spatial resolution multispectral (MS) images by fusing the spatial and spectral information in low spatial resolution (LR) MS and panchromatic (PAN) images. Recently, deep neural network (DNN) based pansharpening met
Externí odkaz:
https://doaj.org/article/c00fe419ed0a4a4e9420858a3e7e4bb9
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 14, Pp 2649-2661 (2021)
Fusion of low spatial resolution multispectral (LR MS) and panchromatic (PAN) images to acquire high spatial resolution multispectral (HR MS) images has attracted increasing attention in recent years. In this article, we first utilize the form of con
Externí odkaz:
https://doaj.org/article/a79e562a1a4f4be58ec60ee637033321
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 14, Pp 426-439 (2021)
In this article, we proposed a novel image fusion method based on multiscale convolution sparse decomposition (MCSD). A unified framework based on MCSD is first utilized to decompose panchromatic (PAN) image and the spatial component of upsampled low
Externí odkaz:
https://doaj.org/article/bde81a34a8d449ebb184d68f04a85230
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 14, Pp 3303-3317 (2021)
The majority of existing hyperspectral (HS) image denoising methods exploit local similarity in HS images by rearranging them into the matrix or vector forms. As the typical 3-D data, the inherent spatial and spectral properties in HS images should b
Externí odkaz:
https://doaj.org/article/65f6b6ffa7ae4e80a73eb9be4a320a6d
Publikováno v:
Remote Sensing, Vol 14, Iss 22, p 5780 (2022)
Nowadays, remote sensing datasets with long temporal coverage generally have a limited spatial resolution, most of the existing research uses the single image super-resolution (SISR) method to reconstruct high-resolution (HR) images. However, due to
Externí odkaz:
https://doaj.org/article/1068aacd05494bb19732f755bd318b8e
Publikováno v:
Applied Sciences, Vol 12, Iss 17, p 8599 (2022)
Video memorability prediction aims to quantify the credibility of being remembered according to the video content, which provides significant value in advertising design, social media recommendation, and other applications. However, the main attribut
Externí odkaz:
https://doaj.org/article/da3eea449ad24d62b0d0a9a8b92887fc
Publikováno v:
IEEE Access, Vol 7, Pp 46706-46716 (2019)
In recent years, the methods of no-reference stereoscopic image quality assessment (NR-SIQA) have been well investigated, but there still remain challenges due to the inaccurate extraction of binocular perception information. In this paper, we propos
Externí odkaz:
https://doaj.org/article/31807c827869498a9d96a816c7c6a1bd
Publikováno v:
IEEE Access, Vol 7, Pp 39826-39841 (2019)
Visual saliency (VS) is an important mechanism for defining which areas of an image will attract more attention of the HVS. Thus, VS can be employed to weight the just noticeable difference (JND) with different attention levels. Some VS-based JND pro
Externí odkaz:
https://doaj.org/article/8a4586689bb5466fbd03aebb10889fa5
Publikováno v:
Remote Sensing, Vol 14, Iss 7, p 1736 (2022)
Pan-sharpening methods based on deep neural network (DNN) have produced state-of-the-art fusion performance. However, DNN-based methods mainly focus on the modeling of the local properties in low spatial resolution multispectral (LR MS) and panchroma
Externí odkaz:
https://doaj.org/article/30e9c81811c54239ace9a42c408ed291