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 …
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 …
Large-scale deep learning based binary and semantic change detection in ultra high resolution remote sensing imagery: From benchmark datasets to urban …
With the acceleration of urban expansion, urban change detection (UCD), as a significant
and effective approach, can provide the change information with respect to geospatial …
and effective approach, can provide the change information with respect to geospatial …
Bi-temporal semantic reasoning for the semantic change detection in HR remote sensing images
Semantic change detection (SCD) extends the multiclass change detection (MCD) task to
provide not only the change locations but also the detailed land-cover/land-use (LCLU) …
provide not only the change locations but also the detailed land-cover/land-use (LCLU) …
[HTML][HTML] ADS-Net: An Attention-Based deeply supervised network for remote sensing image change detection
D Wang, X Chen, M Jiang, S Du, B Xu… - International Journal of …, 2021 - Elsevier
Change detection technology is an important key to analyze remote sensing data and is of
great significance for accurate comprehension of the earth's surface changes. With the …
great significance for accurate comprehension of the earth's surface changes. With the …
Semantic segmentation-based building footprint extraction using very high-resolution satellite images and multi-source GIS data
Automatic extraction of building footprints from high-resolution satellite imagery has become
an important and challenging research issue receiving greater attention. Many recent …
an important and challenging research issue receiving greater attention. Many recent …
[HTML][HTML] Fourier domain structural relationship analysis for unsupervised multimodal change detection
Change detection on multimodal remote sensing images has become an increasingly
interesting and challenging topic in the remote sensing community, which can play an …
interesting and challenging topic in the remote sensing community, which can play an …
A systematic review and assessment of algorithms to detect, characterize, and monitor urban land change
M Reba, KC Seto - Remote sensing of environment, 2020 - Elsevier
Historically, change detection reviews have examined and categorized algorithms based on
their techniques for the remote sensing community. Here, we synthesize urban land change …
their techniques for the remote sensing community. Here, we synthesize urban land change …
A survey of change detection methods based on remote sensing images for multi-source and multi-objective scenarios
Y You, J Cao, W Zhou - Remote Sensing, 2020 - mdpi.com
Quantities of multi-temporal remote sensing (RS) images create favorable conditions for
exploring the urban change in the long term. However, diverse multi-source features and …
exploring the urban change in the long term. However, diverse multi-source features and …
High-resolution remote sensing image scene classification via key filter bank based on convolutional neural network
High-resolution remote sensing (HRRS) image scene classification has attracted an
enormous amount of attention due to its wide application in a range of tasks. Due to the …
enormous amount of attention due to its wide application in a range of tasks. Due to the …