Zobrazeno 1 - 10
of 26
pro vyhledávání: '"Peicheng Zhou"'
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 17, Pp 4208-4221 (2024)
Infrared small target detection is considerably challenging due to the few pixels in targets, low signal-to-noise ratio, and complex background. In this article, we propose an effective attention-guided feature enhancement network (AFE-Net), which ca
Externí odkaz:
https://doaj.org/article/10fcdfa42149489d91084e93e163e860
Publikováno v:
Remote Sensing, Vol 16, Iss 18, p 3431 (2024)
Due to the fact that invalid cloud-covered regions in remote sensing images consume a considerable quantity of coding bit rates under the limited satellite-to-ground transmission rate, existing image compression methods suffer from low compression ef
Externí odkaz:
https://doaj.org/article/024343744f1f42abb77feff8dff8c318
Publikováno v:
IET Computer Vision, Vol 9, Iss 5, Pp 639-647 (2015)
Effective representation and classification of scenes using very high resolution (VHR) remote sensing images cover a wide range of applications. Although robust low‐level image features have been proven to be effective for scene classification, the
Externí odkaz:
https://doaj.org/article/756995db6dac4351b4dd9684f8099763
Publikováno v:
IEEE Transactions on Geoscience and Remote Sensing. 61:1-11
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::03d478523e904d34c679d70fdb175d51
https://doi.org/10.1109/tgrs.2023.3238801
https://doi.org/10.1109/tgrs.2023.3238801
Autor:
Yanqing Yao, Gong Cheng, Guangxing Wang, Shengyang Li, Peicheng Zhou, Xingxing Xie, Junwei Han
Publikováno v:
IEEE Transactions on Geoscience and Remote Sensing. 61:1-11
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::29d04bafd6add9d306869265eedb18cf
https://doi.org/10.1109/tgrs.2022.3231340
https://doi.org/10.1109/tgrs.2022.3231340
Publikováno v:
IEEE Transactions on Geoscience and Remote Sensing. 57:4823-4833
As one of the fundamental research topics in remote sensing image analysis, hyperspectral image (HSI) classification has been extensively studied so far. However, how to discriminatively learn a low-dimensional feature space, in which the mapped feat
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0023c01fb3a7bccd36fdbe78f813e897
https://doi.org/10.1109/tgrs.2019.2893180
https://doi.org/10.1109/tgrs.2019.2893180
Publikováno v:
IEEE Transactions on Image Processing. 28:265-278
The performance of object detection has recently been significantly improved due to the powerful features learnt through convolutional neural networks (CNNs). Despite the remarkable success, there are still several major challenges in object detectio
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::644f8d5d3abb7f58866e09bdbfd6c927
https://doi.org/10.1109/tip.2018.2867198
https://doi.org/10.1109/tip.2018.2867198
Publikováno v:
IEEE transactions on neural networks and learning systems. 30(10)
Despite the promising progress made in recent years, person reidentification (re-ID) remains a challenging task due to the complex variations in human appearances from different camera views. This paper proposes to tackle this task by jointly learnin
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::dd47a7b17d26322921dd2dd8c8e6a223
https://pubmed.ncbi.nlm.nih.gov/32175851
https://pubmed.ncbi.nlm.nih.gov/32175851
Publikováno v:
IEEE Transactions on Image Processing. 27:281-292
Image set classification has attracted much attention because of its broad applications. Despite the success made so far, the problems of intra-class diversity and inter-class similarity still remain two major challenges. To explore a possible soluti
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::35d97222b117867185d603b6478d286b
https://doi.org/10.1109/tip.2017.2760512
https://doi.org/10.1109/tip.2017.2760512
Publikováno v:
IEEE Transactions on Geoscience and Remote Sensing. 54:7405-7415
Object detection in very high resolution optical remote sensing images is a fundamental problem faced for remote sensing image analysis. Due to the advances of powerful feature representations, machine-learning-based object detection is receiving inc
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::852e66c3e32ba66e0bc3e25b8d5c3983
https://doi.org/10.1109/tgrs.2016.2601622
https://doi.org/10.1109/tgrs.2016.2601622