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 remotely sensed images: From pixel-based to object-based approaches
M Hussain, D Chen, A Cheng, H Wei… - ISPRS Journal of …, 2013 - Elsevier
The appetite for up-to-date information about earth's surface is ever increasing, as such
information provides a base for a large number of applications, including local, regional and …
information provides a base for a large number of applications, including local, regional and …
Deep building footprint update network: A semi-supervised method for updating existing building footprint from bi-temporal remote sensing images
Building footprint information is one foundation for understanding urban processes and
hence a program for environmentally sustainable urbanization. For most cities, municipal …
hence a program for environmentally sustainable urbanization. For most cities, municipal …
Adversarial instance augmentation for building change detection in remote sensing images
Training deep learning-based change detection (CD) models heavily relies on large labeled
data sets. However, it is time-consuming and labor-intensive to collect large-scale …
data sets. However, it is time-consuming and labor-intensive to collect large-scale …
PGA-SiamNet: Pyramid feature-based attention-guided Siamese network for remote sensing orthoimagery building change detection
In recent years, building change detection has made remarkable progress through using
deep learning. The core problems of this technique are the need for additional data (eg …
deep learning. The core problems of this technique are the need for additional data (eg …
A critical synthesis of remotely sensed optical image change detection techniques
State of the art reviews of remote sensing change detection are becoming increasingly
complicated and disparate due to an ever growing list of techniques, algorithms and …
complicated and disparate due to an ever growing list of techniques, algorithms and …
[HTML][HTML] DSA-Net: A novel deeply supervised attention-guided network for building change detection in high-resolution remote sensing images
Building change detection (BCD) plays a crucial role in urban planning and development
and has received extensive attention. However, existing deep learning-based change …
and has received extensive attention. However, existing deep learning-based change …
Building change detection for VHR remote sensing images via local–global pyramid network and cross-task transfer learning strategy
Building change detection (BCD) for very-high-spatial-resolution (VHR) remote sensing
images is very important and challenging in the field of remote sensing, as the building is …
images is very important and challenging in the field of remote sensing, as the building is …
3D change detection–approaches and applications
Due to the unprecedented technology development of sensors, platforms and algorithms for
3D data acquisition and generation, 3D spaceborne, airborne and close-range data, in the …
3D data acquisition and generation, 3D spaceborne, airborne and close-range data, in the …
Object-based change detection
Characterizations of land-cover dynamics are among the most important applications of
Earth observation data, providing insights into management, policy and science. Recent …
Earth observation data, providing insights into management, policy and science. Recent …