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 …
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
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 …
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 …
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 …
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
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 …
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 …
sensing science, as a comprehensive high and new technology, has gained the extensive …
Hyperspectral anomaly detection using dual window density
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 …
(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
Change detection with remotely sensed imagery plays an important role in land cover
map**, process analysis and dynamic information services. Euclidean distance …
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 …
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 …
target (such as airplanes) detection is challenging, especially in large-scale complex scenes …