[HTML][HTML] Landslide failures detection and mapping using Synthetic Aperture Radar: Past, present and future
Landslides are geomorphological processes that shape the landscapes of all continents,
dismantling mountains and contributing sediments to the river networks. Caused by …
dismantling mountains and contributing sediments to the river networks. Caused by …
SAR data applications in earth observation: An overview
A Tsokas, M Rysz, PM Pardalos, K Dipple - Expert Systems with …, 2022 - Elsevier
In this review, we present the main approaches developed around satellite and airborne
Synthetic Aperture Radar (SAR) imagery. The great range of SAR imagery applications is …
Synthetic Aperture Radar (SAR) imagery. The great range of SAR imagery applications is …
Complex-valued convolutional neural network and its application in polarimetric SAR image classification
Following the great success of deep convolutional neural networks (CNNs) in computer
vision, this paper proposes a complex-valued CNN (CV-CNN) specifically for synthetic …
vision, this paper proposes a complex-valued CNN (CV-CNN) specifically for synthetic …
[图书][B] Polarimetric radar imaging: from basics to applications
JS Lee, E Pottier - 2017 - taylorfrancis.com
The recent launches of three fully polarimetric synthetic aperture radar (PolSAR) satellites
have shown that polarimetric radar imaging can provide abundant data on the Earth's …
have shown that polarimetric radar imaging can provide abundant data on the Earth's …
An entropy based classification scheme for land applications of polarimetric SAR
The authors outline a new scheme for parameterizing polarimetric scattering problems,
which has application in the quantitative analysis of polarimetric SAR data. The method …
which has application in the quantitative analysis of polarimetric SAR data. The method …
[HTML][HTML] 深度学习在SAR 目标识别与地物分类中的应用
徐丰， 王海鹏， 金亚秋 - 雷达学报, 2017 - edit.radars.ac.cn
深度卷积网络等深度学习算法变革了计算机视觉领域, 在多种应用上的效果都超过了以往传统
图像处理算法. 该文简要回顾了将深度学习应用在SAR 图像目标识别与地物分类中的工作 …
图像处理算法. 该文简要回顾了将深度学习应用在SAR 图像目标识别与地物分类中的工作 …
[图书][B] Statistical pattern recognition
AR Webb - 2003 - books.google.com
Statistical pattern recognition is a very active area of study andresearch, which has seen
many advances in recent years. New andemerging applications-such as data mining, web …
many advances in recent years. New andemerging applications-such as data mining, web …
Exploring vision transformers for polarimetric SAR image classification
H Dong, L Zhang, B Zou - IEEE Transactions on Geoscience …, 2021 - ieeexplore.ieee.org
As one of the most popular topics in polarimetric synthetic aperture radar (PolSAR)
community, PolSAR image classification has always been an important way for PolSAR …
community, PolSAR image classification has always been an important way for PolSAR …
Unsupervised classification using polarimetric decomposition and the complex Wishart classifier
JS Lee, MR Grunes, TL Ainsworth, LJ Du… - … on Geoscience and …, 1999 - ieeexplore.ieee.org
The authors propose a new method for unsupervised classification of terrain types and man-
made objects using polarimetric synthetic aperture radar (SAR) data. This technique is a …
made objects using polarimetric synthetic aperture radar (SAR) data. This technique is a …
Polarimetric SAR speckle filtering and its implication for classification
JS Lee, MR Grunes, G De Grandi - IEEE Transactions on …, 1999 - ieeexplore.ieee.org
This paper proposes a new approach in polarimetric synthetic aperture radar (SAR) speckle
filtering. The new approach emphasizes preserving polarimetric properties and statistical …
filtering. The new approach emphasizes preserving polarimetric properties and statistical …