With the development of space-based imaging technology, a larger and larger number of
images with different modalities and resolutions are available. The optical images reflect the …

Change detection based on heterogeneous images, such as optical images and synthetic
aperture radar images, is a challenging problem because of their huge appearance …

This work presents a Bayesian statistical approach to the multimodal change detection (CD)
problem in remote sensing imagery. More precisely, we formulate the multimodal CD …

Image translation with convolutional autoencoders has recently been used as an approach
to multimodal change detection (CD) in bitemporal satellite images. A main challenge is the …

Due to the complementary properties of different types of sensors, change detection
between heterogeneous images receives increasing attention from researchers. However …

Change detection in heterogeneous bitemporal satellite images has become an emerging,
important, and challenging research topic in remote sensing for rapid damage assessment …

In this article, we propose a novel and simple automatic model based on multimodal
anomaly feature learning in a residual space, aiming at solving the binary classification …

In this paper, we propose a new multimodal change detection in remote sensing. The
proposed method is based on a projection of the two multisensor satellite images to a …

Analysis of heterogeneous remote sensing image is a challenging and complex problem
due to the fact that the local statistics of the data to be processed can be radically different. In …

Heterogeneous image change detection is a very practical and challenging task because
the data in the original image have a large distribution difference and the labeled samples of …