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Open access Sep 2026

Automated detection of bridge and road damage in orthophotos using deep learning

This study proposes a binary deep learning framework to determine whether the bridges or roads in remote sensing data have been damaged, and provides an automated method for image analysis based on remote sensing data.

Xianfeng Li, Jie-An Liang, Shi-Tao Zheng et al. · 0 citations
Open access 2026

DIBNet: Discrepancy-Invariant Boundary-Guided Network for Remote Sensing Change Detection

A discrepancy-invariant recalibration module is proposed, which explicitly utilizes invariant features between different time phases to calibrate the difference features and enhance the ability to suppress false changes.

Kai-Sheng Li, Yan-Yan Mao, Zhao-Long Gao · 0 citations
Open access 2026

SwinMSNet: A Swin Transformer-Based Multiscale Network for Spatio-Environmental Changes

Reliable change detection in remote sensing imagery is critical for supporting applications, such as rapid disaster response and urban development monitoring, where small-scale and incomplete changes are often overlooked. This study proposes SwinMSNet, a Swin transformer-based multiscale network designed to improve rec...

Ching-He Hsu, Pei-Jun Lee, Tsu-En Tien et al. · 0 citations
Open access Jul 2026

PICANTEO: A Modular Change Detection Framework for Remote Sensing Applications

Abstract. This paper presents PICANTEO, a modular and multi-modal change detection framework designed for remote sensing applications in natural disaster response. The framework aims to support damage assessment during both the rapid mapping phase, which occurs in the immediate aftermath of a disaster, and the longer r...

Dimitri Lallement, C. Hümmer, D. Youssefi et al. · 0 citations
Open access Aug 2026

Eliminating Temporal Misalignment in SAR Flood Detection with a ConvLSTM-Siamese Approach Using Sentinel-1 Time Series

Abstract. Flood risk has been increasing worldwide due to climate change and rapid urbanization. Rapid and accurate flood mapping is essential for reducing damage and supporting rescue activities. Synthetic Aperture Radar (SAR) has been widely used for flood monitoring because it can observe the Earth’s surface regardl...

Tatsuya Nakajima, N. Tsutsumida · 0 citations

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