Progress in hyperspectral remote sensing science and technology in China over the past three decades

Q Tong, Y Xue, L Zhang - IEEE Journal of Selected Topics in …, 2013 - ieeexplore.ieee.org
This paper reviews progress in hyperspectral remote sensing (HRS) in China, focusing on
the past three decades. China has made great achievements since starting in this promising …

Object-based mangrove species classification using unmanned aerial vehicle hyperspectral images and digital surface models

J Cao, W Leng, K Liu, L Liu, Z He, Y Zhu - Remote Sensing, 2018 - mdpi.com
Mangroves are one of the most important coastal wetland ecosystems, and the compositions
and distributions of mangrove species are essential for conservation and restoration efforts …

[PDF][PDF] 高光谱遥感影像分类研究进展

杜培军, 夏俊士, 薛朝辉, 谭琨, 苏红军, 鲍蕊 - 遥感学报, 2021 - ygxb.ac.cn
随着模式识别, 机器学**, 遥感技术等相关学科领域的发展, 高光谱遥感影像分类研究取得快速
进展. 本文系统总结和评述了当前高光谱遥感影像分类的相关研究进展, 在总结分类策略的基础 …

[PDF][PDF] **高光谱遥感的前沿进展

童庆禧, 张兵, 张立福 - 遥感学报, 2016 - ygxb.ac.cn
高光谱成像技术具有光谱分辨率高, 图谱合一的独特优势, 是遥感技术发展以来最重大的科技
突破之一. **的高光谱遥感发展与国际基本同步, 在国家和省部级科研项目的支持下 …

Examining the roles of spectral, spatial, and topographic features in improving land-cover and forest classifications in a subtropical region

X Yu, D Lu, X Jiang, G Li, Y Chen, D Li, E Chen - Remote Sensing, 2020 - mdpi.com
Many studies have investigated the effects of spectral and spatial features of remotely
sensed data and topographic characteristics on land-cover and forest classification results …

[КНИГА][B] Hyperspectral image processing

L Wang, C Zhao - 2016 - Springer
With the rapid development of the modern science and technology, the hyperspectral remote
sensing science, as a comprehensive high and new technology, has gained the extensive …

Hyperspectral anomaly detection using dual window density

B Tu, X Yang, C Zhou, D He… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
Hyperspectral anomaly detection is one of the most active topics in hyperspectral image
(HSI) analysis. The fine spectral information of HSIs allows us to uncover anomalies with …

A spectral gradient difference based approach for land cover change detection

J Chen, M Lu, X Chen, J Chen, L Chen - ISPRS journal of photogrammetry …, 2013 - Elsevier
Change detection with remotely sensed imagery plays an important role in land cover
map**, process analysis and dynamic information services. Euclidean distance …

Individual tree classification using airborne LiDAR and hyperspectral data in a natural mixed forest of northeast China

D Zhao, Y Pang, L Liu, Z Li - Forests, 2020 - mdpi.com
This paper proposes a method to classify individual tree species groups based on individual
tree segmentation and crown-level spectrum extraction (“crown-based ITC” for abbr.) in a …

Transfer Learning of Spatial Features from High-resolution RGB Images for Large-scale and Robust Hyperspectral Remote Sensing Target Detection

Y Wu, Z Li, B Zhao, Y Song… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Target detection is a critical task in interpreting hyperspectral remote sensing images. Small
target (such as airplanes) detection is challenging, especially in large-scale complex scenes …