Land cover change detection with heterogeneous remote sensing images: Review, progress, and perspective
With the fast development of remote sensing platforms and sensors technology, change
detection with heterogeneous remote sensing images (Hete-CD) has become an attractive …
detection with heterogeneous remote sensing images (Hete-CD) has become an attractive …
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 …
Commonality autoencoder: Learning common features for change detection from heterogeneous images
Change detection based on heterogeneous images, such as optical images and synthetic
aperture radar images, is a challenging problem because of their huge appearance …
aperture radar images, is a challenging problem because of their huge appearance …
CLNet: Cross-layer convolutional neural network for change detection in optical remote sensing imagery
Change detection plays a crucial role in observing earth surface transition and has been
widely investigated using deep learning methods. However, the current deep learning …
widely investigated using deep learning methods. However, the current deep learning …
S2Looking: A satellite side-looking dataset for building change detection
L Shen, Y Lu, H Chen, H Wei, D **e, J Yue, R Chen… - Remote Sensing, 2021 - mdpi.com
Building-change detection underpins many important applications, especially in the military
and crisis-management domains. Recent methods used for change detection have shifted …
and crisis-management domains. Recent methods used for change detection have shifted …
Mobile laser scanned point-clouds for road object detection and extraction: A review
The mobile laser scanning (MLS) technique has attracted considerable attention for
providing high-density, high-accuracy, unstructured, three-dimensional (3D) geo-referenced …
providing high-density, high-accuracy, unstructured, three-dimensional (3D) geo-referenced …
Land use/land cover in view of earth observation: Data sources, input dimensions, and classifiers—A review of the state of the art
Land use/land cover (LULC) is a fundamental concept of the Earth's system intimately
connected to many phases of the human and physical environment. Earth observation (EO) …
connected to many phases of the human and physical environment. Earth observation (EO) …
A full-level fused cross-task transfer learning method for building change detection using noise-robust pretrained networks on crowdsourced labels
Accurate building change detection is crucial for understanding urban development.
Although fully supervised deep learning-based methods for building change detection have …
Although fully supervised deep learning-based methods for building change detection have …
Graph-based block-level urban change detection using Sentinel-2 time series
Remote sensing technology has been frequently used to obtain information on changes in
urban land cover because of its vast spatial coverage and timeliness of observation. Block …
urban land cover because of its vast spatial coverage and timeliness of observation. Block …
Regularity of rural settlement changes driven by rapid urbanization in North China over the three decades
Y Liu, C Ou, Y Li, L Zhang, J He - Science Bulletin, 2023 - Elsevier
The systematic decline of rural areas in the process of rapid urbanization has become a
global trend, creating greater challenges for sustainable rural development. As the spatial …
global trend, creating greater challenges for sustainable rural development. As the spatial …