Article
Physics, Multidisciplinary
Ying Chang, Wanrong Gao
Summary: The proposed method combines pseudo-polar decomposition and Cloude decomposition to understand the polarization behaviors of a medium from measured Mueller matrices. The relationships between component matrices and Mueller-Jones matrices are derived, revealing the weighting factors needed in Cloude decomposition and pseudo-polar decomposition. This new understanding allows for insights into light scattering characteristics in random anisotropic media.
Article
Environmental Sciences
Junjun Yin, Jian Yang
Summary: A unified reconstruction framework for the general CP mode is proposed in the study, which is based on formalized CP descriptors and a three-component decomposition method. Additionally, a least squares estimation method is extended to arbitrary CP modes to solve the system of non-linear equations.
Article
Environmental Sciences
Ryu Sugimoto, Ryosuke Nakamura, Chiaki Tsutsumi, Yoshio Yamaguchi
Summary: A new scattering power decomposition method is proposed for accurate tropical forest monitoring using dual-polarization mode data. This method improves forest classification accuracy and enables rapid deforestation detection. The method constructs scattering power models for dual-polarization data, creates a covariance matrix, and decomposes it to obtain three scattering powers. Evaluations using simulated data and actual data from the Amazon demonstrate the excellent performance of the proposed method in forest classification and deforestation detection, making it highly effective for tropical forest monitoring.
Article
Geography, Physical
Chuan Zhang, Gui Gao, Linlin Zhang, C. Chen, S. Gao, Libo Yao, Qilin Bai, Shiquan Gou
Summary: In this study, an adaptive ship detector using full-polarization SAR images was constructed and verified through experiments. The results showed that the proposed detector has a higher signal-clutter ratio and lower false alarm rate, indicating better detection accuracy compared to other methods.
ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING
(2022)
Article
Environmental Sciences
Yifan Chen, Lamei Zhang, Bin Zou, Guihua Gu
Summary: Polarimetric decomposition is an effective method to analyze the scattering mechanism in PolSAR images. However, it is challenging to analyze urban areas. This study proposes a modified rotational dihedral model (MRDM) based on electromagnetic theory, and introduces it into a five-component decomposition method (MRDM-5SD) for accurate analysis of urban scattering components. Experimental results demonstrate the effectiveness of MRDM-5SD in increasing the power contributions of double-bounce scattering in urban areas with large orientation angles. Therefore, MRDM can support feature extraction and target detection in urban areas.
Article
Environmental Sciences
Jingling Jiang, Hong Zhang, Ji Ge, Chunling Sun, Lu Xu, Chao Wang
Summary: By combining synthetic aperture radar (SAR) technology, statistical features, and a segmentation model, the cropland in the Mekong Delta region was effectively extracted.
Article
Environmental Sciences
Xiaowo Xu, Xiaoling Zhang, Zikang Shao, Jun Shi, Shunjun Wei, Tianwen Zhang, Tianjiao Zeng
Summary: Ship detection in synthetic aperture radar (SAR) images is a significant and challenging task. This paper proposes a group-wise feature enhancement-and-fusion network with dual-polarization feature enrichment (GWFEF-Net) to improve dual-polarization SAR ship detection. The GWFEF-Net offers four contributions, including dual-polarization feature enrichment, group-wise feature enhancement, group-wise feature fusion, and hybrid pooling channel attention. Extensive experiments demonstrate the superior performance of GWFEF-Net compared with other competitive methods.
Article
Remote Sensing
Shubham Kumar Singh, Rajendra Prasad, Vivek Tiwari, Prashant K. Srivastava
Summary: This study introduces a new approach for vegetation monitoring using the Volume Power analysis technique in SAR imagery. By incorporating the degree of polarization and considering the anisotropic scattering properties of vegetation, the proposed method improves the accuracy of VP estimation and enables more accurate and efficient estimation of LAI. The results show that the method provides more accurate LAI estimates and greater sensitivity to vegetation scattering compared to traditional methods.
INTERNATIONAL JOURNAL OF REMOTE SENSING
(2023)
Article
Environmental Sciences
Rucha Dave, Gaurav Kumar, Dharmendra Kr. Pandey, Armugha Khan, Bimal Bhattacharya
Summary: This study focuses on soil moisture estimation using dual polarimetric RISAT-1 C-band SAR data, utilizing the modified Dubois model (MDM) for winter wheat crop growth stages. The results show a practical correlation between model-derived and ground-measured soil moisture, with promising performance of MDM for early and maturity stages of crop growth.
GEOCARTO INTERNATIONAL
(2021)
Article
Remote Sensing
Yanyan Wang, Shenghui Fang, Lingli Zhao, Xinxin Huang
Summary: The study examines the scattering mechanism of a maize field using dual-pol (VV, VH) SAR data to better understand crop height inversion. A new radar vegetation index (mPRVI) is proposed and compared with other parameters throughout the maize growing season, showing superior performance in estimating plant height.
INTERNATIONAL JOURNAL OF REMOTE SENSING
(2022)
Article
Engineering, Electrical & Electronic
Matthew Dvorsky, Mohammad Tayeb Al Qaseer, Reza Zoughi
Summary: A calibration method for square or circular waveguide-based dual-polarized probes has been proposed, utilizing known symmetric reflect standards and unknown asymmetric reflect standards. Two Ka-band dual-circularly polarized probes were fabricated with the proposed calibration method, and the algorithm’s ability to correct for polarization impurity was demonstrated through SAR measurements.
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT
(2021)
Article
Environmental Sciences
Wensheng Wang, Martin Gade, Kerstin Stelzer, Jorn Kohlus, Xinyu Zhao, Kun Fu
Summary: This study presents an extension of a classification scheme based on polarimetric SAR data, using data from different frequencies and polarizations to achieve high spatial accuracy in distinguishing between sediment types and habitats.
Article
Materials Science, Multidisciplinary
Wei Zhang, Liqin Liang, Xinwei Yuan, Fei Wang, Xiaoqian Shan, Jiabing Li, Zirun Wang, Xiao Yang
Summary: The synthesized nanoparticles in this study can diagnose and monitor the OA process, as well as stimulate macrophage polarization, demonstrating dual therapeutic functions for OA treatment.
MATERIALS & DESIGN
(2021)
Article
Engineering, Electrical & Electronic
Maryam Imani
Summary: In this paper, a spatial and polarimetric residual network (SPRN) is proposed for POLSAR image classification. It can extract and fuse polarimetric information and correlation among neighboring pixels in local regions simultaneously. Experimental results demonstrate that SPRN outperforms several state-of-the-art classifiers.
IET RADAR SONAR AND NAVIGATION
(2022)
Article
Geography, Physical
Jianlong Wang, Biao Hou, Bo Ren, Yake Zhang, Meijuan Yang, Shuang Wang, Licheng Jiao
Summary: This paper proposes a parameter ordering scheme and a parameter selection scheme based on Touzi decomposition for PolSAR image classification. The loss function of the autoencoder network is modified according to the different data distribution of the selected parameters, and an improved autoencoder network is proposed. Experimental results on four real PolSAR images show that these schemes can improve the overall classification accuracy.
ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING
(2022)