Deep learning-based change detection in remote sensing images: A review
Images gathered from different satellites are vastly available these days due to the fast
development of remote sensing (RS) technology. These images significantly enhance the …
development of remote sensing (RS) technology. These images significantly enhance the …
Change detection based on artificial intelligence: State-of-the-art and challenges
Change detection based on remote sensing (RS) data is an important method of detecting
changes on the Earth's surface and has a wide range of applications in urban planning …
changes on the Earth's surface and has a wide range of applications in urban planning …
TransUNetCD: A hybrid transformer network for change detection in optical remote-sensing images
Q Li, R Zhong, X Du, Y Du - IEEE Transactions on Geoscience …, 2022 - ieeexplore.ieee.org
In the change detection (CD) task, the UNet architecture has achieved superior results.
However, due to the inherent limitation of convolution operations, UNet is inadequate in …
However, due to the inherent limitation of convolution operations, UNet is inadequate in …
Change detection in remote sensing image data comparing algebraic and machine learning methods
Remote sensing technology has penetrated all the natural resource segments as it provides
precise information in an image mode. Remote sensing satellites are currently the fastest …
precise information in an image mode. Remote sensing satellites are currently the fastest …
Monitoring the effect of urban development on urban heat island based on remote sensing and geo-spatial approach in Kolkata and adjacent areas, India
B Halder, J Bandyopadhyay, P Banik - Sustainable Cities and Society, 2021 - Elsevier
Climate change and the rapid urbanization process can trigger the current urban heat island
effect. An urban heat island is categorized by temperature variation between urban and rural …
effect. An urban heat island is categorized by temperature variation between urban and rural …
DASNet: Dual attentive fully convolutional Siamese networks for change detection in high-resolution satellite images
Change detection is a basic task of remote sensing image processing. The research
objective is to identify the change information of interest and filter out the irrelevant change …
objective is to identify the change information of interest and filter out the irrelevant change …
Comparison of land use land cover classifiers using different satellite imagery and machine learning techniques
Accurate land use land cover (LULC) classification is vital for the sustainable management
of natural resources and to learn how the landscape is changing due to climate. For …
of natural resources and to learn how the landscape is changing due to climate. For …
Deep learning for change detection in remote sensing: a review
ABSTRACT A large number of publications have incorporated deep learning in the process
of remote sensing change detection. In these Deep Learning Change Detection (DLCD) …
of remote sensing change detection. In these Deep Learning Change Detection (DLCD) …
A review on change detection method and accuracy assessment for land use land cover
The assessment of land use land cover change is extremely important for understanding the
relationship between humans and nature. The enormous changes at a regional scale and …
relationship between humans and nature. The enormous changes at a regional scale and …
A systematic review of landsat data for change detection applications: 50 years of monitoring the earth
With uninterrupted space-based data collection since 1972, Landsat plays a key role in
systematic monitoring of the Earth's surface, enabled by an extensive and free …
systematic monitoring of the Earth's surface, enabled by an extensive and free …