Results 21 to 30 of about 1,381,574 (256)

Union of Class-Dependent Collaborative Representation Based on Maximum Margin Projection for Hyperspectral Imagery Classification

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2021
This article proposed a novel spectral-spatial classification framework for hyperspectral image (HSI) through combining collaborative representation (CR) and maximum margin projection (MMP).
Haoyang Yu, Xiaodi Shang, Meiping Song, Jiaochan Hu, Tong Jiao, Qiandong Guo, Bing Zhang   +6 more
doaj   +1 more source

Development and Application of Hyperspectral Remote Sensing [PDF]

, 2019
Since the early 1960s, multispectral imagery has been served as the data source for earth observational remote sensing (RS) in the last thirty years; the advancement of sensor technology had made it accessible to colleting hundreds continues spectral bands-hyperspectral RS.
Huimin Xing, Haikuan Feng, Jingying Fu, Xingang Xu, Guijun Yang   +4 more
openaire   +2 more sources

Neighborhood Activity-Driven Representation for Hyperspectral Imagery Classification

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2020
In the classic sparse representation (SR)-based models and their improved versions with the spatial consistency, such as joint representation (JR)-based frameworks, the sparse coefficient is generally considered with the dictionary together for ...
Haoyang Yu, Xiao Zhang, Chunyan Yu, Lianru Gao, Bing Zhang   +4 more
doaj   +1 more source

Beyond being wise after the event: Combining spatial, temporal and spectral information for Himawari-8 early-stage wildfire detection

International Journal of Applied Earth Observations and Geoinformation, 2023
Wildfires frequently occur around the world, which seriously threaten the ecology, environment, economic development, even human safety. In this work, we propose a novel framework for near-real-time and early-stage wildfire detection using Himawari-8 ...
Qiang Zhang, Jian Zhu, Yan Huang, Qiangqiang Yuan, Liangpei Zhang   +4 more
doaj   +1 more source

An Adaptive Capsule Network for Hyperspectral Remote Sensing Classification [PDF]

Remote Sensing, 2021
The capsule network (Caps) is a novel type of neural network that has great potential for the classification of hyperspectral remote sensing. However, the Caps suffers from the issue of gradient vanishing. To solve this problem, a powered activation regularization based adaptive capsule network (PAR-ACaps) was proposed for hyperspectral remote sensing ...
Ding, Xiaohui, Li, Yong, Yang, Ji, Li, Huapeng, Liu, Lingjia, Liu, Yangxiaoyue, Zhang, Ce   +6 more
openaire   +6 more sources

Band Subset Selection for Hyperspectral Image Classification

Remote Sensing, 2018
This paper develops a new approach to band subset selection (BSS) for hyperspectral image classification (HSIC) which selects multiple bands simultaneously as a band subset, referred to as simultaneous multiple band selection (SMMBS), rather than one ...
Chunyan Yu, Meiping Song, Chein-I Chang
doaj   +1 more source

Illumination invariance and shadow compensation on hyperspectral images [PDF]

, 2014
To obtain intrinsic reflectance of the scene by hyperspectral imaging systems has been a scientific and engineering challenge. Factors such as illumination variations, atmospheric effects and viewing geometries are common artefacts which modulate the way
Ibrahim, Izzati
core   +6 more sources

Hyperspectral Imagery Classification Based on Multiscale Superpixel-Level Constraint Representation

Remote Sensing, 2020
Sparse representation (SR)-based models have been widely applied for hyperspectral image classification. In our previously established constraint representation (CR) model, we exploited the underlying significance of the sparse coefficient and proposed ...
Haoyang Yu, Xiao Zhang, Meiping Song, Jiaochan Hu, Qiandong Guo, Lianru Gao   +5 more
doaj   +1 more source

Hyperspectral remote sensing of foliar nitrogen content [PDF]

Proceedings of the National Academy of Sciences, 2012
A strong positive correlation between vegetation canopy bidirectional reflectance factor (BRF) in the near infrared (NIR) spectral region and foliar mass-based nitrogen concentration (%N) has been reported in some temperate and boreal forests. This relationship, if true, would indicate an additional role for nitrogen in the climate system via its ...
Knyazikhin, Y., Schull, M., Stenberg, P., Mottus, M., Rautiainen, M., Yang, Y., Marshak, A., Latorre Carmona, P., Kaufmann, R., Lewis, P., Disney, M., Vanderbilt, V., Davis, A., Baret, F., Jacquemoud, S., Lyapustin, A., Myneni, R.   +16 more
openaire   +6 more sources

Quality criteria benchmark for hyperspectral imagery [PDF]

, 2005
Hyperspectral data appear to be of a growing interest over the past few years. However, applications for hyperspectral data are still in their infancy as handling the significant size of the data presents a challenge for the user community.
Christophe, Emmanuel, Léger, Dominique, Mailhes, Corinne   +2 more
core   +1 more source