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 …
Land-use/land-cover change detection based on a Siamese global learning framework for high spatial resolution remote sensing imagery
Due to the abundant features of high spatial resolution (HSR) remote sensing images,
change detection of these images is crucial to understanding the land-use and land-cover …
change detection of these images is crucial to understanding the land-use and land-cover …
A deeply supervised image fusion network for change detection in high resolution bi-temporal remote sensing images
Change detection in high resolution remote sensing images is crucial to the understanding
of land surface changes. As traditional change detection methods are not suitable for the …
of land surface changes. As traditional change detection methods are not suitable for 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 …
End-to-end change detection for high resolution satellite images using improved UNet++
Change detection (CD) is essential to the accurate understanding of land surface changes
using available Earth observation data. Due to the great advantages in deep feature …
using available Earth observation data. Due to the great advantages in deep feature …
Land cover change detection techniques: Very-high-resolution optical images: A review
Land cover change detection (LCCD) with remote sensing images is an important
application of Earth observation data because it provides insights into environmental health …
application of Earth observation data because it provides insights into environmental health …
Unsupervised deep change vector analysis for multiple-change detection in VHR images
Change detection (CD) in multitemporal images is an important application of remote
sensing. Recent technological evolution provided very high spatial resolution (VHR) …
sensing. Recent technological evolution provided very high spatial resolution (VHR) …
A survey on object detection in optical remote sensing images
Object detection in optical remote sensing images, being a fundamental but challenging
problem in the field of aerial and satellite image analysis, plays an important role for a wide …
problem in the field of aerial and satellite image analysis, plays an important role for a wide …
Change detection from very-high-spatial-resolution optical remote sensing images: Methods, applications, and future directions
Change detection is a vibrant area of research in remote sensing. Thanks to increases in the
spatial resolution of remote sensing images, subtle changes at a finer geometrical scale can …
spatial resolution of remote sensing images, subtle changes at a finer geometrical scale can …
Remote sensing technologies for enhancing forest inventories: A review
Forest inventory and management requirements are changing rapidly in the context of an
increasingly complex set of economic, environmental, and social policy objectives …
increasingly complex set of economic, environmental, and social policy objectives …