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Digital Twin-based Framework for Heat Stress Calculation

I. Cárdenas-León, R. Morales-Ortega, M. Koeva, F. Atún et al. • ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences (2024)

According to the KNMI Klimaatsignaal’21, the average surface temperature in The Netherlands has increased by 2.3°C between 1901 and 2020. Moreover, The Netherlands is also experiencing more frequent and intense heatwaves. Urban de...

DOAJ Open Access (DOAJ) DOI: 10.5194/isprs-annals-X-4-2024-67-2024

A survey of uncertainty in deep neural networks

Jakob Gawlikowski, Cedrique Rovile Njieutcheu Tassi, Mohsin Ali, Jong‐Seok Lee et al. • Artificial Intelligence Review (2023)

Abstract Over the last decade, neural networks have reached almost every field of science and become a crucial part of various real world applications. Due to the increasing spread, confidence in neural network predictions has become more a...

OPENALEX cc-by DOI: https://doi.org/10.1007/s10462-023-10562-9

Change Detection for Hyperspectral Images Via Convolutional Sparse Analysis and Temporal Spectral Unmixing

Qingle Guo, Junping Zhang, Chongxiao Zhong, Ye Zhang • IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (2021)

With the increase in the availability of multitemporal hyperspectral images (HSIs), HSIs change detection (CD) methods, including pixel-level and subpixel-level based methods, have attracted great attention in recent years. However, the wid...

DOAJ Open Access (DOAJ) DOI: 10.1109/JSTARS.2021.3074538

An Unsupervised and End-to-End Registration Method Using Offset Field and Pseudodata for Video SAR Images

Hui Fang, Guisheng Liao, Yongjun Liu, Cao Zeng et al. • IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (2024)

Video synthetic aperture radar (video SAR) has been successfully applied in many fields and the registration of the video SAR images has been proven to be a crucial step in their preprocessing. However, video SAR images exhibit more severe ...

DOAJ Open Access (DOAJ) DOI: 10.1109/JSTARS.2024.3465835

Small Object Detection Algorithm Based on Improved YOLOv8 for Remote Sensing

Hao Yi, Bo Liu, Bin Zhao, Enhai Liu • IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (2024)

Due to the limitations of small targets in remote sensing images, such as background noise, poor information, and so on, the results of commonly used detection algorithms in small target detection is not satisfactory. To improve the accurac...

DOAJ Open Access (DOAJ) DOI: 10.1109/JSTARS.2023.3339235

CG-DINO: Improved Network for Small Object Detection in Uncrewed Aerial Vehicle Imagery Based on DINO

Jian Liu, Pei Niu, Yihui Jiang, Zilong Zhao et al. • IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (2026)

Object detection in uncrewed aerial vehicle (UAV) acquired images remains a challenging task due to extreme scale variation, dense object layouts, and complex backgrounds, etc. Although convolutional neural networks (CNNs), transformers, an...

DOAJ Open Access (DOAJ) DOI: 10.1109/JSTARS.2026.3729713

A review on deep learning in UAV remote sensing

Lucas Prado Osco, José Marcato, Ana Paula Marques Ramos, Lúcio André de Castro Jorge et al. • International Journal of Applied Earth Observation and Geoinformation (2021)

Deep Neural Networks (DNNs) learn representation from data with an impressive capability, and brought important breakthroughs for processing images, time-series, natural language, audio, video, and many others. In the remote sensing field, ...

OPENALEX cc-by-nc-nd DOI: https://doi.org/10.1016/j.jag.2021.102456

SPAF-SegNeXt: Prior-Guided Attention and Frequency-Spatial Hybrid Fusion for Multimodal Sugarcane Segmentation in Remote Sensing

Wei Zhang, Chao Ren, Haoming Bai, Huada Huang et al. • IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (2026)

Accurate monitoring of the spatial extent of sugarcane cultivation is critical for optimizing land-use efficiency and regulating the sugar industry. However, sugarcane cultivation areas are characterized by complex topography and fragmented...

DOAJ Open Access (DOAJ) DOI: 10.1109/JSTARS.2026.3716367

Ship Detection With SAR C-Band Satellite Images: A Systematic Review

Cyprien Alexandre, Rodolphe Devillers, David Mouillot, Raphael Seguin et al. • IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (2024)

Detecting and tracking ships remotely is now required in a wide range of contexts, from military security to illegal immigration control, as well as the management of fisheries and marine protected areas. Among the available methods, radar ...

DOAJ Open Access (DOAJ) DOI: 10.1109/JSTARS.2024.3437187

A Sensor-to-API Data Infrastructure for Building Digital Twins: Harmonizing Multi-Rate IoT Energy and Indoor Data Streams for Proactive Analytics

J. W. Njoroge, M. Koeva, M. Farnaghi, D. Petrova-Antonova et al. • ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences (2026)

Digital twins are increasingly used in smart buildings to monitor energy use. This requires reliable sensor data, geospatial information, and semantically rich 3D building geometry. However, building sensor data often has inconsistent sampl...

DOAJ Open Access (DOAJ) DOI: 10.5194/isprs-annals-XII-4-W1-2026-251-2026

SSMSFuse: A Spectral and Spatial Multiscale Coupling Fusion Model for Hyperspectral and Multispectral Image

Siyuan Liu, Yingchao Fan, Qi Hu, Bing Li et al. • IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (2025)

Hyperspectral image (HSI) has more spectral information than conventional images, which helps to distinguish targets in a complex scene more accurately. However, HSI typically has a low spatial resolution, which limits their application sce...

DOAJ Open Access (DOAJ) DOI: 10.1109/JSTARS.2025.3586076