Results 71 to 80 of about 300,366 (322)

Self-Attention in Reconstruction Bias U-Net for Semantic Segmentation of Building Rooftops in Optical Remote Sensing Images

Remote Sensing, 2021
Deep learning models have brought great breakthroughs in building extraction from high-resolution optical remote-sensing images. Among recent research, the self-attention module has called up a storm in many fields, including building extraction. However,
Ziyi Chen, Dilong Li, Wentao Fan, H. Guan, Cheng Wang, Jonathan Li   +5 more
semanticscholar   +1 more source

Cognitive Status in People With Epilepsy in the Republic of Guinea: A Prospective, Case–Control Study

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective People with epilepsy (PWE) may experience cognitive deficits but fail to undergo formal evaluation. This study compares cognitive status between PWE and healthy controls in the West African Republic of Guinea. Methods A cross‐sectional, case–control study was conducted in sequential recruitment phases (July 2024–July 2025) at Ignace ...
Maya L. Mastick, Cheick O. Soumah, Malé Doré, Oumar Mara, Desiré Neldje, Fodé A. Cissé, Toure M. Lamine, Aminata Diallo, Seungwon Lee, Siddharth Satish, Alexander J. X. Chen, Alice Liu, Nomin Enkhtsetseg, Farrah J. Mateen, The Guinea Epilepsy Project   +14 more
wiley   +1 more source

A new optimization framework for the geometric positioning accuracy of optical images

International Journal of Applied Earth Observations and Geoinformation
Obtaining accurate geometric positioning information for images is crucial for the application of remote sensing images in stereo mapping, map production, and target positioning.
Ming Li, Dazhao Fan, Yang Dong, Song Ji, Dongzi Li, Jiaqi Yang, Aosheng Wang, Baosheng Zhang   +7 more
doaj   +1 more source

A Public Dataset for Fine-Grained Ship Classification in Optical Remote Sensing Images

Remote Sensing, 2021
Fine-grained visual categorization (FGVC) is an important and challenging problem due to large intra-class differences and small inter-class differences caused by deformation, illumination, angles, etc.
Yanghua Di, Zhi-guo Jiang, Haopeng Zhang
semanticscholar   +1 more source

Local Feature-Based Attribute Profiles for Optical Remote Sensing Image Classification [PDF]

IEEE Transactions on Geoscience and Remote Sensing, 2018
This paper introduces an extension of morphological attribute profiles (APs) by extracting their local features. The so-called local feature-based APs (LFAPs) are expected to provide a better characterization of each APs’ filtered pixel (i.e., APs’ sample) within its neighborhood, and hence better deal with local texture information from the image ...
Minh-Tan Pham, Sebastien Lefevre, Erchan Aptoula   +2 more
openaire   +3 more sources

Remote Monitoring in Myasthenia Gravis: Exploring Symptom Variability

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Background Myasthenia gravis (MG) is a rare, autoimmune disorder characterized by fluctuating muscle weakness and potential life‐threatening crises. While continuous specialized care is essential, access barriers often delay timely interventions. To address this, we developed MyaLink, a telemedical platform for MG patients.
Maike Stein, Maximilian Mönch, Meret Herdick, Frauke Stascheit, Sarah Hoffmann, Hannah Preßler, Philipp Mergenthaler, Carla Dusemund, Paolo Doksani, Haoqi Sun, Pushpa Narayanaswami, Andreas Meisel, Lea Gerischer, Sophie Lehnerer   +13 more
wiley   +1 more source

Multi-scale Target Detection Algorithm of Optical Remote Sensing Image Based on Improved YOLOv8 [PDF]

The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
With the progress of remote sensing sensors, the quality of optical remote sensing image is significantly improved, and target detection on it can extract rich feature information.
H. Wang, H. Yang, J. Wang, X. Zhou, Y. Xu, H. Zhang   +5 more
doaj   +1 more source

Multi-Source Remote Sensing Pretraining Based on Contrastive Self-Supervised Learning

Remote Sensing, 2022
SAR-optical images from different sensors can provide consistent information for scene classification. However, the utilization of unlabeled SAR-optical images in deep learning-based remote sensing image interpretation remains an open issue.
Chenfang Liu, Hao Sun, Yanjie Xu, Gangyao Kuang   +3 more
doaj   +1 more source

Remote sensing for Mapping TSM concentration in Mahakam Delta: an analytical approach [PDF]

, 2004
The Indonesian coastal zones have always been under heavy pressures, including those from fisheries, oil industries and sea transportation. The presence of these activities carry a large portion of risk in damaging the environment as well as in ...
Budhiman, S., Hobma, T. W., Vekerdy, Zoltán   +2 more
core  

Semantic-Edge Interactive Network for Salient Object Detection in Optical Remote Sensing Images

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2023
Despite salient object detection in natural images has made remarkable progress, it is still an emerging and challenging problem to detect salient objects from optical remote sensing images [remote sensing image salient object detection (RSI-SOD)].
Huilan Luo, Bocheng Liang
semanticscholar   +1 more source