[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, 机器学习, 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 …
Segmentation for Object-Based Image Analysis (OBIA): A review of algorithms and challenges from remote sensing perspective
MD Hossain, D Chen - ISPRS Journal of Photogrammetry and Remote …, 2019 - Elsevier
Image segmentation is a critical and important step in (GEographic) Object-Based Image
Analysis (GEOBIA or OBIA). The final feature extraction and classification in OBIA is highly …
Analysis (GEOBIA or OBIA). The final feature extraction and classification in OBIA is highly …
[HTML][HTML] A 30-m landsat-derived cropland extent product of Australia and China using random forest machine learning algorithm on Google Earth Engine cloud …
Mapping high resolution (30-m or better) cropland extent over very large areas such as
continents or large countries or regions accurately, precisely, repeatedly, and rapidly is of …
continents or large countries or regions accurately, precisely, repeatedly, and rapidly is of …
Nominal 30-m cropland extent map of continental Africa by integrating pixel-based and object-based algorithms using Sentinel-2 and Landsat-8 data on Google Earth …
J Xiong, PS Thenkabail, JC Tilton, MK Gumma… - Remote Sensing, 2017 - mdpi.com
A satellite-derived cropland extent map at high spatial resolution (30-m or better) is a must
for food and water security analysis. Precise and accurate global cropland extent maps …
for food and water security analysis. Precise and accurate global cropland extent maps …
Advances in spectral-spatial classification of hyperspectral images
Recent advances in spectral-spatial classification of hyperspectral images are presented in
this paper. Several techniques are investigated for combining both spatial and spectral …
this paper. Several techniques are investigated for combining both spatial and spectral …
Bag-of-visual-words scene classifier with local and global features for high spatial resolution remote sensing imagery
Scene classification has been studied to allow us to semantically interpret high spatial
resolution (HSR) remote sensing imagery. The bag-of-visual-words (BOVW) model is an …
resolution (HSR) remote sensing imagery. The bag-of-visual-words (BOVW) model is an …
Semantic segmentation for high spatial resolution remote sensing images based on convolution neural network and pyramid pooling module
Semantic segmentation provides a practical way to segment remotely sensed images into
multiple ground objects simultaneously, which can be potentially applied to multiple remote …
multiple ground objects simultaneously, which can be potentially applied to multiple remote …
Scene classification based on the multifeature fusion probabilistic topic model for high spatial resolution remote sensing imagery
Scene classification has been proved to be an effective method for high spatial resolution
(HSR) remote sensing image semantic interpretation. The probabilistic topic model (PTM) …
(HSR) remote sensing image semantic interpretation. The probabilistic topic model (PTM) …
Infrared small target detection based on adaptive region growing algorithm with iterative threshold analysis
Y Li, Z Li, Z Guo, A Siddique, Y Liu… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Existing infrared (IR) small target detection algorithms often lack adaptability in complex
scenes and heavily rely on parameter configurations. To address this limitation, we propose …
scenes and heavily rely on parameter configurations. To address this limitation, we propose …
[图书][B] Spectral-spatial classification of hyperspectral remote sensing images
JA Benediktsson, P Ghamisi - 2015 - books.google.com
This comprehensive new resource brings you up to date on recent developments in the
classification of hyperspectral images using both spectral and spatial information, including …
classification of hyperspectral images using both spectral and spatial information, including …