Article
Engineering, Electrical & Electronic
Takuma Watanabe, Hiroyoshi Yamada
Summary: This article introduces a novel method for estimating crack orientation on a metallic surface using linearly polarized circular synthetic aperture radar imaging. The proposed method was validated through numerical simulation and laboratory measurements, with angular estimation errors within 5.1 degrees.
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT
(2021)
Article
Geochemistry & Geophysics
Yiru Lu, Biao Zhang, William Perrie
Summary: We propose an automatic classification approach for Arctic sea ice and open water using fully polarimetric spaceborne C-band RADARSAT-2 synthetic aperture radar (SAR) imagery. The approach is based on a random forest (RF) model that utilizes HH and HV polarized radar backscatter, incidence angle, and optimal polarimetric features as inputs. Through a physics-based unsupervised scheme, well-annotated sea ice and open water samples are generated, reducing labeling errors. The RF model is trained and validated using over one million labeled samples, achieving a sea ice and water classification accuracy of 99.94% and a Kappa coefficient of 0.999. Optimal polarimetric features improve ice-water discrimination accuracy by about 4%-10%, with polarization difference being the foremost parameter for distinguishing sea ice from open water. High-resolution ice-water classification maps demonstrate clear separation of sea ice leads and their surroundings.
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
(2023)
Article
Geochemistry & Geophysics
Cornelius Quigley, Camilla Brekke, Torbjorn Eltoft
Summary: In this study, the retrieval results for the dielectric properties of verified oil slick using airborne multifrequency synthetic aperture radar were compared. Two different inversion methods were used and the results showed consistency, especially for low dielectric values.
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
(2022)
Article
Geochemistry & Geophysics
Wentao An, Mingsen Lin
Summary: This study compares and analyzes eight different model-based incoherent polarimetric decomposition algorithms, using the new concept of generalized polarimetric entropy to describe the polarimetric information change of decomposed components. The polarimetric power entropy and polarimetric residual entropy are used to respectively represent the distribution status of Span values and residual randomness of decomposed components.
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
(2021)
Article
Engineering, Electrical & Electronic
Paul Connetable, Allan Aasbjerg Nielsen, Knut Conradsen, Ernst Krogager, Henning Skriver
Summary: The increased amount of information from fully polarimetric synthetic aperture radar (SAR) provides additional knowledge about ground scatterers. Utilizing the polarimetric information effectively is crucial for target detection. Different approaches have been proposed to summarize the information into polarimetric features, which have been studied in relation to the physical properties of the scatterers. This article aims to review the polarimetric features used for target detection and combine them optimally for vehicle detection in open fields, based on a large airborne dataset in X-, S-, and L-bands.
IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING
(2023)
Article
Engineering, Electrical & Electronic
Jason M. Merlo, Jeffrey A. Nanzer
Summary: This article presents a low-frequency SAR radar for automotive use and showcases the opportunity to infer landmarks through measurements of co-polarized and cross-polarized scattering.
IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY
(2022)
Article
Engineering, Electrical & Electronic
Qiang Yin, Jie Xu, Deliang Xiang, Yongsheng Zhou, Fan Zhang
Summary: The article introduces a new descriptor for OOBs in CP SAR to reduce volume scattering in urban areas, and proposes a new model-based decomposition method. The method improves double-bounce scattering component in different types of urban areas.
IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING
(2021)
Article
Environmental Sciences
Congrui Yang, Fengjun Zhao, Chunle Wang, Mengmeng Wang, Xiuqing Liu, Robert Wang
Summary: This article proposes a novel topography retrieval algorithm based on the Lambertian backscatter model using PolSAR data, which improves the vertical precision of DEM generation. Experimental results show that PolSAR data can be used as a reliable information source for DEM fusion under certain conditions.
Article
Engineering, Electrical & Electronic
Yanting Wang, Thomas L. Ainsworth, Jong-Sen Lee
Summary: This study investigates different estimators for estimating polarization orientation angle in polarimetric SAR imagery, finding that they may give different results on rough terrain surfaces due to potential mixing of secondary scattering mechanisms.
IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING
(2022)
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
Chemistry, Multidisciplinary
Daesung Park, Jaehoon Choi
Summary: A dual-band dual-polarized antenna with high isolation characteristics is proposed for polarimetric synthetic aperture radar applications, achieving improvements in isolation characteristics by inserting a metamaterial absorber.
APPLIED SCIENCES-BASEL
(2021)
Article
Environmental Sciences
Rui Guo, Xiaopeng Zhao, Guanzhong Zuo, Ying Wang, Yi Liang
Summary: This paper introduces the successful application of deep learning techniques in microwave remote sensing, particularly in synthetic aperture radar (SAR) image semantic segmentation using convolutional neural networks. The proposed LoSARNet optimizes semantic segmentation metric intersection over union (IOU) by utilizing Lovasz-softmax loss instead of traditional cross-entropy loss. Additionally, the network utilizes a dual-path structure, extracting features through both spatial path (SP) and context path (CP) to achieve a balance between efficiency and accuracy. The network is applied to polarimetric SAR (PolSAR) image terrain segmentation, outperforming the existing bilateral segmentation network (BiSeNet) in terms of mean intersection over union (MIOU) and evaluation index.
Article
Geochemistry & Geophysics
Subhadip Dey, Noelia Romero-Puig, Avik Bhattacharya
Summary: This study proposes a new method for analyzing scattering information to characterize different land cover targets more accurately, and demonstrates its effectiveness using actual data.
IEEE GEOSCIENCE AND REMOTE SENSING LETTERS
(2022)
Article
Geochemistry & Geophysics
Liting Liang, Yunhua Zhang, Dong Li
Summary: This article introduces a novel polarization orientation angle estimation algorithm for steep terrain, which extends the estimation range and solves some issues, with detailed comparison among different algorithms and analysis of the wrapping and unwrapping problem.
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
(2021)
Article
Environmental Sciences
Rui Guo, Xiaopeng Zhao, Bo Zang, Yi Liang, Jian Bai, Liang Guo
Summary: In this paper, a refined model is proposed to estimate the quad-pol information for the CP mode. The proposed model shows its superiority in estimating the quad-pol information compared to typical reconstruction models. Furthermore, experiments validate the effectiveness of the reconstruction for classification applications using a complex-value convolutional neural network.
Article
Environmental Sciences
Junichi Susaki, Naoyuki Maruo, Masahiro Tsujino, Tirawat Boonyatee
Editorial Material
Geochemistry & Geophysics
Akira Hirose, Motofumi Arii, Irena Hajnsek, Akira Iwasaki, Shouhei Kidera, Tsunekazu Kimura, Hiroaki Kuze, Shoichiro Kojima, Yu Okada, Ryo Natsuaki, Takuya Sakamoto, Motoyuki Sato, Ryoichi Sato, Fang Shang, Josaphat T. S. Sumantyo, Junichi Susaki, Kei Suwa, Takeo Tadono, Kazunori Takahashi, Kuniaki Uto, Manabu Watanabe, Hiroyoshi Yamada, Aya Yamamoto, Naoto Yokoya, Chinatsu Yonezawa
IEEE GEOSCIENCE AND REMOTE SENSING MAGAZINE
(2019)
Article
Remote Sensing
Tamer ElGharbawi, Junichi Susaki, Kamolratn Chureesampant, Chomchanok Arunplod, Juthasinee Thanyapraneedkul, Ponthip Limlahapun, Amany Suliman
Summary: This paper proposes two deep convolutional neural network (CNN) variants based on Seg-Net and Res-Net architectures for accurate estimation of forest canopy heights using Sentinel-2 data and a digital surface model. The results show that the Seg-Net model has an average MAE, RMSE, and R2 of 1.38 m, 1.85 m, and 0.87, respectively, and is approximately 4.8 times faster than the Res-Net model.
INTERNATIONAL JOURNAL OF REMOTE SENSING
(2023)
Proceedings Paper
Geosciences, Multidisciplinary
Tomoya Kusunose, Junichi Susaki, Yu Fujiwara, Hirofumi Hisada
Summary: In recent years, heavy rain has caused significant damage to various infrastructures in Japan. This study applies PSInSAR technology to monitor ground deformation and proposes a noise-robust system for early detection of landslide signs in the Takeo Junction area of western Japan.
2022 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS 2022)
(2022)
Proceedings Paper
Engineering, Aerospace
Tomoya Kusunose, Junichi Susaki
Summary: Land subsidence, a serious social problem in Japan, has been controlled with groundwater pumping regulations, but new ground uplift problems are now a concern, particularly in urban areas. The study found a strong correlation between rising groundwater levels and ground uplift, suggesting potential for further research in this area.
2021 7TH ASIA-PACIFIC CONFERENCE ON SYNTHETIC APERTURE RADAR (APSAR)
(2021)
Proceedings Paper
Environmental Sciences
H. Ito, J. Susaki, T. Anahara
ISPRS TECHNICAL COMMISSION III WG III/2, 10 JOINT WORKSHOP MULTIDISCIPLINARY REMOTE SENSING FOR ENVIRONMENTAL MONITORING
(2019)
Proceedings Paper
Environmental Sciences
J. Susaki, R. Miyagaki, A. Kuriki, S. Jin
ISPRS TECHNICAL COMMISSION III WG III/2, 10 JOINT WORKSHOP MULTIDISCIPLINARY REMOTE SENSING FOR ENVIRONMENTAL MONITORING
(2019)
Proceedings Paper
Geosciences, Multidisciplinary
Junichi Susaki, Hiroki Ito, Takuma Anahara
2019 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS 2019)
(2019)
Proceedings Paper
Geosciences, Multidisciplinary
Takaya Kusakabe, Junichi Susaki, Takuma Anahara
2019 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS 2019)
(2019)
Proceedings Paper
Geography, Physical
S. Yadav, Y. Yamashiki, J. Susaki, Y. Yamashita, K. Ishikawa
ISPRS TECHNICAL COMMISSION III WG III/2, 10 JOINT WORKSHOP MULTIDISCIPLINARY REMOTE SENSING FOR ENVIRONMENTAL MONITORING
(2019)
Proceedings Paper
Engineering, Electrical & Electronic
Sheng-ye Jin, Junichi Susaki, Ryota Miyagaki, Amane Kuriki
IGARSS 2018 - 2018 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM
(2018)
Proceedings Paper
Engineering, Electrical & Electronic
Hiroki Ito, Junichi Susaki
IGARSS 2018 - 2018 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM
(2018)
Article
Engineering, Multidisciplinary
Shin Akatsuka, Junichi Susaki, Masataka Takagi
ENGINEERING JOURNAL-THAILAND
(2018)
Proceedings Paper
Geosciences, Multidisciplinary
Mehwish Ghulam Zuhra, Junichi Susaki, Masayuki Tamura
2017 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS)
(2017)
Proceedings Paper
Geosciences, Multidisciplinary
Junichi Susaki, Masahiro Tsujino, Takuma Anahara
2017 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS)
(2017)