Adaptive Multisensor Fusion for Remote Sensing Change Detection Using USASE

IF 4.3 2区综合性期刊 Q1 ENGINEERING, ELECTRICAL & ELECTRONIC

IEEE Sensors Journal Pub Date : 2025-02-27 DOI:10.1109/JSEN.2025.3543717

Guangyi Shi

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引用次数: 0

Abstract

Binary change detection (BCD) in remote sensing has advanced, yet challenges remain in reducing feature redundancy and effectively utilizing difference information between dual-time images, which affects precision in identifying change areas. In addition, the effective fusion of multisensor data types limits adaptability and accuracy in change detection (CD) models. This article presents the ultralightweight semantic-aware spatial exchange (USASE) network, a three-encoder-three-decoder architecture designed for improved adaptability in multisensor data fusion. USASE integrates a micro convolutional unit (MCU) for reduced feature redundancy through pointwise and depthwise separable convolutions, while a temporal-aware feature aggregation module (TAFAM) captures global semantic relationships to enhance detection precision across sensor types. An adaptive weighting mechanism further optimizes dual-time image accuracy in multisource data fusion. Tested on the SYSU-CD, LEVIR-CD, and DSIFN datasets, USASE achieves the

${F}1$

-scores of 83.12%, 90.72%, and 81.34%, respectively, outperforming several baselines in accuracy, efficiency, and computational cost. This study highlights USASEs potential as a robust, real-time solution for dynamic and complex remote sensing applications.

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来源期刊

IEEE Sensors Journal 工程技术-工程：电子与电气

CiteScore

7.70

自引率

14.00%

发文量

2058

审稿时长

5.2 months

期刊介绍： The fields of interest of the IEEE Sensors Journal are the theory, design , fabrication, manufacturing and applications of devices for sensing and transducing physical, chemical and biological phenomena, with emphasis on the electronics and physics aspect of sensors and integrated sensors-actuators. IEEE Sensors Journal deals with the following: -Sensor Phenomenology, Modelling, and Evaluation -Sensor Materials, Processing, and Fabrication -Chemical and Gas Sensors -Microfluidics and Biosensors -Optical Sensors -Physical Sensors: Temperature, Mechanical, Magnetic, and others -Acoustic and Ultrasonic Sensors -Sensor Packaging -Sensor Networks -Sensor Applications -Sensor Systems: Signals, Processing, and Interfaces -Actuators and Sensor Power Systems -Sensor Signal Processing for high precision and stability (amplification, filtering, linearization, modulation/demodulation) and under harsh conditions (EMC, radiation, humidity, temperature); energy consumption/harvesting -Sensor Data Processing (soft computing with sensor data, e.g., pattern recognition, machine learning, evolutionary computation; sensor data fusion, processing of wave e.g., electromagnetic and acoustic; and non-wave, e.g., chemical, gravity, particle, thermal, radiative and non-radiative sensor data, detection, estimation and classification based on sensor data) -Sensors in Industrial Practice