Article
Computer Science, Interdisciplinary Applications
Shengye Hu, Baiying Lei, Shuqiang Wang, Yong Wang, Zhiguang Feng, Yanyan Shen
Summary: This paper proposes a 3D end-to-end synthesis network called BMGAN for synthesizing PET images from brain MR images. The method utilizes a bidirectional mapping mechanism and employs a 3D Dense-UNet generator architecture and hybrid loss functions to generate high-quality cross-modality synthetic images while preserving the diverse brain structures of different subjects.
IEEE TRANSACTIONS ON MEDICAL IMAGING
(2022)
Article
Geochemistry & Geophysics
Qibin He, Xian Sun, Zhiyuan Yan, Beibei Li, Kun Fu
Summary: This paper proposes an end-to-end online framework called TGraM for multi-object tracking in satellite videos. It also builds a large-scale satellite video dataset for experiments. Compared with existing multi-object trackers, TGraM achieves efficient collaborative learning between detection and reidentification, improving tracking accuracy.
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
(2022)
Article
Geochemistry & Geophysics
Xiangtao Zheng, Binqiang Wang, Xingqian Du, Xiaoqiang Lu
Summary: This study introduces a method for remote sensing visual question answering (VQA) that considers the fusion of image features and question features, introducing convolutional features and word vectors, as well as attention mechanism and bilinear technique. Experimental results demonstrate that the proposed method can capture the alignments between images and questions.
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
(2022)
Article
Geochemistry & Geophysics
Zilong Zhong, Ying Li, Lingfei Ma, Jonathan Li, Wei-Shi Zheng
Summary: This study introduces a novel spectral-spatial transformer network (SSTN) to overcome the limitations of convolution kernels and proposes a factorized architecture search (FAS) framework that focuses on finding optimal architecture settings without the need for bilevel optimization. Experimental results demonstrate the excellent performance of SSTNs on multiple HSI benchmark datasets.
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
(2022)
Article
Engineering, Electrical & Electronic
Walid Hariri
Summary: This paper proposes a reliable method for masked face recognition by removing occlusions, extracting deep features, and using Multilayer Perceptron (MLP) for classification, which shows high recognition performance on a real-world dataset compared to other state-of-the-art methods.
SIGNAL IMAGE AND VIDEO PROCESSING
(2022)
Article
Geochemistry & Geophysics
Runmin Cong, Yumo Zhang, Leyuan Fang, Jun Li, Yao Zhao, Sam Kwong
Summary: This article proposes a relational reasoning network (RRNet) with parallel multiscale attention (PMA) for salient object detection (SOD) in optical remote sensing images (RSIs). By integrating the spatial and channel dimensions and utilizing high-level encoder features, the RRNet infers semantic relationships and generates more complete detection results. The PMA module effectively restores detailed information and addresses scale variation of salient objects.
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
(2022)
Article
Geochemistry & Geophysics
Xuan Kong, Chunping Yang, Siying Cao, Chaohai Li, Zhenming Peng
Summary: This article proposes a new infrared patch-tensor (IPT) model to address the challenges of inaccurate background rank representation and poor robustness against noise and sparse interference. Experimental results demonstrate the robustness of the algorithm to noise and different scenes, and show significant superiority in detection performance compared with other methods.
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
(2022)
Proceedings Paper
Computer Science, Artificial Intelligence
Long Ma, Tengyu Ma, Risheng Liu, Xin Fan, Zhongxuan Luo
Summary: This paper proposes a new Self-Calibrated Illumination (SCI) learning framework for enhancing image brightness in real-world low-light scenarios. The framework achieves a balance between computational efficiency and visual quality through cascaded illumination learning, weight sharing, and a self-calibrated module.
2022 IEEE/CVF CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION (CVPR 2022)
(2022)
Article
Geochemistry & Geophysics
Kunping Yang, Gui-Song Xia, Zicheng Liu, Bo Du, Wen Yang, Marcello Pelillo, Liangpei Zhang
Summary: The article presents an asymmetric Siamese network (ASN) for locating and identifying semantic changes through feature pairs from modules of widely different structures to deal with distinct land-cover distributions at different times. The experimental results show that the proposed model can consistently outperform existing algorithms with varying encoder backbones.
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
(2022)
Article
Geochemistry & Geophysics
Jing Bai, Bixiu Ding, Zhu Xiao, Licheng Jiao, Hongyang Chen, Amelia C. Regan
Summary: This paper proposes a framework based on a deep attention graph convolutional network (DAGCN) to address the challenges of hyperspectral image classification. By integrating attention mechanism and designing deep graph convolutional networks, deep abstract features are extracted and the internal relationship between HSI data is explored, achieving superior classification results compared to the baselines.
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
(2022)
Article
Geochemistry & Geophysics
Hao Chen, Wenyuan Li, Zhenwei Shi
Summary: The article introduces a novel data augmentation method IAug to generate bitemporal images with diverse building changes using generative adversarial training. A simple yet effective CD model CDNet is proposed, achieving state-of-the-art results in building change detection.
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
(2022)
Article
Geochemistry & Geophysics
Xinghua Li, Meizhen He, Huifang Li, Huanfeng Shen
Summary: This study proposes a method based on a multiscale fully convolutional neural network that effectively extracts detailed features of ground objects and addresses the issue of unbalanced samples, with experiments showing better performance in change detection tasks.
IEEE GEOSCIENCE AND REMOTE SENSING LETTERS
(2022)
Review
Geochemistry & Geophysics
Jianlai Chen, Mengdao Xing, Hanwen Yu, Buge Liang, Jian Peng, Guang-Cai Sun
IEEE GEOSCIENCE AND REMOTE SENSING MAGAZINE
(2022)
Review
Geography, Physical
F. Nex, C. Armenakis, M. Cramer, D. A. Cucci, M. Gerke, E. Honkavaara, A. Kukko, C. Persello, J. Skaloud
Summary: This paper reviews best practices for the use of UAVs in remote sensing and mapping applications, emphasizes the need for interdisciplinary research, explores the future trends and impacts of UAVs in photogrammetry and remote sensing.
ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING
(2022)
Article
Environmental Sciences
Ayesha Shafique, Guo Cao, Zia Khan, Muhammad Asad, Muhammad Aslam
Summary: This review discusses the importance of change detection in the context of remote sensing technology and the application of deep learning techniques. Deep learning has shown significant success in change detection, outperforming traditional methods, and is considered as the future direction of development.
Article
Geochemistry & Geophysics
Yiding Li, Shunsheng Zhang, Wen-Qin Wang
Summary: A new and faster region-based convolutional neural network (R-CNN) detection method is proposed in this paper, with a new lightweight network design and the use of K-Means method to optimize the recognition of target scale. The proposed method shows significant improvements in both detection performance and speed.
IEEE GEOSCIENCE AND REMOTE SENSING LETTERS
(2022)
Article
Geochemistry & Geophysics
Haifeng Li, Yi Li, Guo Zhang, Ruoyun Liu, Haozhe Huang, Qing Zhu, Chao Tao
Summary: This study proposes a global style and local matching contrastive learning network (GLCNet) for remote sensing image (RSI) semantic segmentation. By using global style contrastive learning and local feature matching contrastive learning modules, the method achieves superior results compared to state-of-the-art methods and supervised learning methods on various RSI semantic segmentation datasets.
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
(2022)
Article
Environmental Sciences
Benjamin Dechant, Youngryel Ryu, Grayson Badgley, Philipp Kohler, Uwe Rascher, Mirco Migliavacca, Yongguang Zhang, Giulia Tagliabue, Kaiyu Guan, Micol Rossini, Yves Goulas, Yelu Zeng, Christian Frankenberg, Joseph A. Berry
Summary: Our study highlights the strong relationship between canopy structure and far-red SIF, indicating that the contribution of leaf physiology to SIF variability is small compared to structure and radiation components. The near-infrared reflectance of vegetation multiplied by incoming sunlight (NIRvP) emerges as a robust proxy for far-red SIF across different scales, showing potential for reliable vegetation monitoring at the global level.
REMOTE SENSING OF ENVIRONMENT
(2022)
Article
Engineering, Electrical & Electronic
Bing Zhang, Yuanfeng Wu, Boya Zhao, Jocelyn Chanussot, Danfeng Hong, Jing Yao, Lianru Gao
Summary: Due to advances in remote sensing satellite imaging and image processing technologies, intelligent remote sensing satellites have the potential to provide personalized, real-time, and accurate remote sensing information services. However, there are technological breakthroughs and legal challenges in the design of intelligent remote sensing satellites.
IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING
(2022)
Article
Geochemistry & Geophysics
Swalpa Kumar Roy, Juan M. Haut, Mercedes E. Paoletti, Shiv Ram Dubey, Antonio Plaza
Summary: This article proposes a new 3D-HyperGAMO model to address the issue of imbalanced data in hyperspectral image (HSI) classification. The model uses generative adversarial minority oversampling to automatically generate more samples for minority classes during training, significantly improving the classification performance.
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
(2022)
