Article
Computer Science, Artificial Intelligence
Jin Li, Yanyan Liu
Summary: In this paper, a non-blind post-processing approach in the wavelet domain is proposed to improve the efficiency and performance of image compression. The method uses a high-frequency detection algorithm to guide resource allocation and remove redundancies among wavelet coefficients. Experimental results show that the proposed method achieves high calculation efficiency and compression performance, making it suitable for remote sensing images and other images.
KNOWLEDGE-BASED SYSTEMS
(2021)
Article
Computer Science, Information Systems
Anjali Goswami, Deepak Sharma, Harani Mathuku, Syam Machinathu Parambil Gangadharan, Chandra Shekhar Yadav, Saroj Kumar Sahu, Manoj Kumar Pradhan, Jagendra Singh, Hazra Imran
Summary: Remote sensing technology has been widely used in natural resource fields, providing precise information. It is necessary to develop automatic change detection techniques to improve classification accuracy and reduce time. This study focuses on improving machine learning classification accuracy by comparing training samples and image differences.
Article
Environmental Sciences
Pei Nie, Zhenqi Cui, Yaping Wan
Summary: This paper introduces a rapid parallel remote sensing image mosaicking algorithm utilizing read filtering. By dividing the target images into blocks and storing them in a distributed file system, and using asynchronous reading and processing methods, the algorithm reduces data I/O and computing overhead and improves the efficiency of parallel computing.
Article
Remote Sensing
Yanfei Zhong, Xinyu Wang, Shaoyu Wang, Liangpei Zhang
Summary: This paper discusses the recent progress in Chinese spaceborne HRS, including typical satellite systems, data processing, and applications, as well as the future development trends of HRS in China.
GEO-SPATIAL INFORMATION SCIENCE
(2021)
Article
Engineering, Electrical & Electronic
Kien T. Nguyen, Liang Hu, Andrey S. Alenin, Elizabeth A. Ritchie, J. Scott Tyo
Summary: The study introduces a framework to quantify the radiation impact of tropical cyclones, involving the segmentation of TC clouds and calculation of radiation effects. Results suggest that the magnitude and variability of radiation contribution by TCs could have a significant effect on the overall energy balance of the Earth.
IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING
(2021)
Article
Engineering, Electrical & Electronic
Licheng Jiao, Zhongjian Huang, Xu Liu, Yuting Yang, Mengru Ma, Jiaxuan Zhao, Chao You, Biao Hou, Shuyuan Yang, Fang Liu, Wenping Ma, Lingling Li, Puhua Chen, Zhixi Feng, Xu Tang, Yuwei Guo, Xiangrong Zhang, Dou Quan, Shuang Wang, Weibin Li, Jing Bai, Yangyang Li, Ronghua Shang, Jie Feng
Summary: This article summarizes and analyzes the essential properties of brain cognize learning and the recent advance of remote sensing interpretation. It introduces the brain's structural composition and properties, and studies five representative brain-inspired algorithms. The article also summarizes the data types of remote sensing, the development of typical applications, and discusses the future direction of brain-inspired remote sensing interpretation.
IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING
(2023)
Article
Environmental Sciences
Donatella Occorsio, Giuliana Ramella, Woula Themistoclakis
Summary: In this study, a framework was proposed to assess recent image resizing methods for remote sensing applications. Extensive experiments were conducted on multiple public remote sensing image datasets and two new datasets included in the framework to evaluate the performance of each method in terms of image quality and statistical measures.
Article
Engineering, Electrical & Electronic
Sai Lei, Mingming Lu, Jieqiong Lin, Xiaoqin Zhou, Xuemei Yang
Summary: This study introduces a new denoising method for remote sensing images, incorporating an eight-direction filter bank and optimized contour transformation. The method features multi-scale and multi-direction characteristics, capturing image details effectively, and utilizes an improved semi-soft threshold function to restore edge information in the image.
SIGNAL IMAGE AND VIDEO PROCESSING
(2021)
Article
Engineering, Ocean
Runyu Song, Tieshan Li, Taoying Li
Summary: Ship detection in marine remote sensing images is improved by a hybrid deep learning framework, which includes image dehazing, image enhancement, and an improved YOLO-v5s network. Experimental results demonstrate the superior ship detection precision of the proposed framework.
APPLIED OCEAN RESEARCH
(2023)
Article
Environmental Sciences
Jiawei Yong, Kexin Li, Zhejun Feng, Zengyan Wu, Shubing Ye, Baoming Song, Runxi Wei, Changqing Cao
Summary: Achieving high-resolution remote sensing images is a crucial goal in space exploration. However, traditional compressed sensing with the orthogonal matching pursuit (OMP) algorithm leads to low-quality remote sensing images. This limitation in the reconstruction of sparse signals collected by photon-integrated interferometric imaging detectors hampers the advancement of photon-integrated interferometric remote sensing detection and imaging technology. By improving the OMP algorithm and introducing a threshold limited-generalized orthogonal matching pursuit (TL-GOMP) algorithm, we achieved an 18.02% increase in peak signal-to-noise ratio value (P-SNR) and a 53.62% decrease in mean square error (M-SE) in image reconstruction compared to the OMP algorithm. The TL-GOMP algorithm shows great potential in high-quality image reconstruction and its applications in photonic integrated interferometric remote sensing detection and imaging.
Article
Environmental Sciences
Jin Ning, Yanhong Zhou, Xiaojuan Liao, Bin Duo
Summary: In this study, a single remote sensing image (RSI) dehazing method based on robust light-dark prior (RLDP) is proposed. The method is robust to outlier pixels and utilizes a hybrid model. It first removes haze using a robust dark channel prior (RDCP), and then removes shadows using a robust light channel prior (RLCP). A cube root mean enhancement (CRME)-based stable state search criterion is also proposed to tackle the challenge of patch size setting. Experimental results on benchmark and Landsat 8 RSIs demonstrate the effectiveness of the RLDP method in haze removal.
Article
Environmental Sciences
Chongyang Wei, Weiping Ni, Yao Qin, Junzheng Wu, Han Zhang, Qiang Liu, Kenan Cheng, Hui Bian
Summary: Compared with general object detection in natural images, oriented object detection in remote sensing images is challenging due to arbitrary orientations. Existing CNN-based methods often adopt complex and inefficient approaches to model variant orientations. In this paper, we propose a lightweight approach to generate oriented proposals and extract rotation-invariant features. Our method achieves state-of-the-art accuracy while reducing the model size by 40%.
Article
Computer Science, Information Systems
Xianyu Zuo, Zhe Zhang, Baojun Qiao, Junfeng Tian, Liming Zhou, Yunzhou Zhang
Summary: This paper introduces how to optimize the application of GPU in remote sensing image processing using a dynamic adaptive acceleration method, determining calculation parameters based on GPU hardware parameters and dynamically preprocessing input remote sensing images on host, and executing tasks on GPU, the results show that this method outperforms traditional approaches.
Article
Geochemistry & Geophysics
Chunbo Lang, Junyi Wang, Gong Cheng, Binfei Tu, Junwei Han
Summary: In recent years, few-shot segmentation (FSS) has gained attention for its advantages in low-data regimes. However, most research has focused on natural image processing, neglecting the challenges of remote sensing image understanding. This article proposes a simple and easy-to-implement framework called PCNet, which addresses the problems faced in remote sensing image segmentation. Experimental results demonstrate that PCNet outperforms previous FSS approaches, achieving state-of-the-art performance.
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
(2023)
Review
Chemistry, Multidisciplinary
Yiming Cai, Yao Zhou, Hongwen Zhang, Yuli Xia, Peng Qiao, Junsuo Zhao
Summary: This paper analyzes the calculation principle and error analysis models of aerial camera positioning algorithms and proposes future optimization directions. It provides guidance for researchers to understand the development direction of target geo-location algorithms of aerial remote sensing imagery.
APPLIED SCIENCES-BASEL
(2022)
Article
Geochemistry & Geophysics
Liang Hu, Elizabeth A. Ritchie, J. Scott Tyo
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
(2020)
Article
Optics
Qiwei Li, Jiawei Song, Andrey S. Alenin, J. Scott Tyo
Summary: This paper proposes two novel strategies for spatiotemporal modulation that use different elements of the Mueller matrix to generate carriers, reducing the effects of systematic errors. The simulation results show that nonseparable modulation can provide higher reconstruction accuracy of polarimetric information compared to separable strategies.
Article
Optics
Jiawei Song, Rasit Abay, J. Scott Tyo, Andrey S. Alenin
Summary: The study introduces a machine learning based channel filtering framework for channeled polarimeters, which trains machines to predict anti-aliasing filters adaptively. Through simulation experiments, the method demonstrates advantages in reconstructing polarimetric images.
Article
Optics
Qiwei Li, Jiawei Song, Andrey S. Alenin, J. Scott Tyo
Summary: The study introduces a deep-learning-based channel filtering framework to address the cross talk and spectral resolution loss issues in channeled spectropolarimetry. Through training, the network can adaptively predict spectral magnitude filters with wide bandwidths and anti-cross-talk features, leading to improved reconstruction accuracy.
Article
Environmental Sciences
Xu Deng, Sarah E. Perkins-Kirkpatrick, Sophie C. Lewis, Elizabeth A. Ritchie
Summary: The historical simulations of models in the sixth phase of CMIP6 were evaluated for their performance in simulating extreme temperatures across 10 regions in Australia. The study found that the CMIP6 models showed modest improvements compared to CMIP5, but still exhibited deficiencies in simulating temperature extremes in certain regions. Internal variability was identified to affect trends of extremes and there was uncertainty in representing irreducible variability among different LEs in CMIP6.
Article
Meteorology & Atmospheric Sciences
Thao Linh Tran, Elizabeth A. Ritchie, Sarah E. Perkins-Kirkpatrick
Summary: The study found that approximately half of the Western North Pacific tropical cyclones make landfall in Southeast Asia, representing over 75% of the total landfalls in the region. While there was a slight upward trend in landfall frequency in the JTWC dataset, the number of landfall events decreased in the CMA and TOKYO datasets over the study period. There was a consistent northward shift in landfall locations over the 50-year period, with decreases in landfalls in the Philippines and Vietnam but increases in some South China areas.
JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES
(2022)
Article
Meteorology & Atmospheric Sciences
Difei Deng, Elizabeth A. Ritchie
Summary: Tropical Cyclone Debbie made a deadly impact on Australia in 2017, causing 14 fatalities and $2.67 billion in economic loss. It underwent rapid intensification from category 2 to category 4 within 18 hours before landfall. A detailed analysis of the inner-core structure and evolution revealed two stages: slow intensification and rapid intensification.
JOURNAL OF THE ATMOSPHERIC SCIENCES
(2023)
Article
Environmental Sciences
Rubaiya Kabir, Elizabeth A. Ritchie, Clair Stark
Summary: The North Indian Ocean is a high-risk region for tropical cyclone impacts due to its high coastal population and low-lying delta. The study analyzed data from a 30-year period to examine the frequency of tropical cyclone landfall and changes in the region. The findings showed that most tropical cyclones made landfall during the pre- and post-monsoon seasons, with a decrease in rainfall associated with landfalling cyclones in recent years. Interestingly, the activity of tropical cyclones has shifted towards the northeast India and Bangladesh coasts, indicating potential vulnerability in these regions.
Article
Environmental Sciences
Thao Linh Tran, Elizabeth A. Ritchie, Sarah E. Perkins-Kirkpatrick, Hai Bui, Thang M. Luong
Summary: This study quantifies potential future changes in the Southeast Asia tropical cyclone exposure climatology using simulations. The findings suggest that under future climate change scenarios, landfalling tropical cyclones are projected to be more intense, faster, and smaller, with a shift in landfall locations towards northern areas.
Article
Engineering, Marine
Md Wasif E. Elahi, Xiao Hua Wang, Julio Salcedo-Castro, Elizabeth A. Ritchie
Summary: This study investigates the storm surge caused by severe tropical cyclones in the Ganges-Brahmaputra-Meghna Delta. The wind-driven setup is found to be the main contributing factor to the storm surge height, and the interaction between tides and winds can either increase or decrease the magnitude of the surge. Additionally, wind-driven waves can further increase the surge height along the coastline.
JOURNAL OF MARINE SCIENCE AND ENGINEERING
(2023)
Article
Computer Science, Information Systems
Andrew W. Kruse, Damien J. Mannion, Andrey S. Alenin, J. Scott Tyo
Summary: In this study, a comparison was made between the visualization methods based on HSV and CAM02-UCS color space, in terms of perceptual uniformity and nonlinear bias. The results indicated that the UCS condition performed better than the HSV condition.
Proceedings Paper
Optics
Connor J. Flannery, Qiwei Li, Joseph Kurtz, Andrey S. Alenin, J. Scott Tyo
Summary: This paper introduces a 9-channel spatially modulated partial Mueller matrix polarimeter, utilizing a spatial light modulator (SLM) and a division of focal plane (DoFP) polarimeter, and shows how adaptation of the PSG modulation to the spectral structure of the scene can significantly improve reconstruction accuracy.
POLARIZATION SCIENCE AND REMOTE SENSING X
(2021)
Article
Engineering, Electrical & Electronic
Kien T. Nguyen, Liang Hu, Andrey S. Alenin, Elizabeth A. Ritchie, J. Scott Tyo
Summary: The study introduces a framework to quantify the radiation impact of tropical cyclones, involving the segmentation of TC clouds and calculation of radiation effects. Results suggest that the magnitude and variability of radiation contribution by TCs could have a significant effect on the overall energy balance of the Earth.
IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING
(2021)
