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change detection

Change detection is the process of analyzing multiple images of the same geographical area captured at different points in time to identify, quantify, and characterize physical or environmental differences. In remote sensing and computer vision, this workflow involves aligning coregistered multi-temporal images and applying statistical algorithms or machine learning models to compare visual features, spectral signatures, or structural patterns across the scenes. By distinguishing genuine land cover and land use alterations—such as urban growth, deforestation, or natural disaster impacts—from incidental variations like seasonal shifts, atmospheric interference, and lighting changes, change detection produces detailed maps that support environmental monitoring, resource management, and disaster response.

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Fully Convolutional Siamese Networks for Change Detection

Fully Convolutional Siamese Networks for Change Detection

Rodrigo Caye Daudt, Bertrand Le Saux, Alexandre Boulch

OrganizationsDTISInstitut polytechnique de ParisONERATélécom ParisUniversité Paris-Saclay

Why you should read this

Proposes fully convolutional Siamese architectures for remote sensing change detection that train from scratch on coregistered image pairs to deliver superior accuracy at over 500 times the speed of previous methods.

This paper presents three fully convolutional neural network architectures which perform change detection using a pair of coregistered images. Most notably, we propose two Siamese extensions of fully convolutional networks which use heuristics about the current problem to achieve the best results in our tests on two open change detection datasets, using both RGB and multispectral images. We show that our system is able to learn from scratch using annotated change detection images. Our architectures achieve better performance than previously proposed methods, while being at least 500 times faster than related systems. This work is a step towards efficient processing of data from large scale Earth observation systems such as Copernicus or Landsat.

Added

2026-09-24