A multi-task consistency enhancement network for semantic change detection in HR remote sensing images and application of non-agriculturalization
H Lin, X Wang, M Li, D Huang, R Wu - Remote Sensing, 2023 - mdpi.com
It is challenging to investigate semantic change detection (SCD) in bi-temporal high-
resolution (HR) remote sensing images. For the non-changing surfaces in the same location …
resolution (HR) remote sensing images. For the non-changing surfaces in the same location …
Detection and Classification of Buildings by Height from Single Urban High-Resolution Remote Sensing Images
H Zhang, C Xu, Z Fan, W Li, K Sun, D Li - Applied Sciences, 2023 - mdpi.com
Recent improvements in remote sensing technologies have boosted building detection
techniques from rough classifications using moderate resolution imagery to precise …
techniques from rough classifications using moderate resolution imagery to precise …
A Novel UNet 3+ Change Detection Method Considering Scale Uncertainty in High-Resolution Imagery
T Bai, Q An, S Deng, P Li, Y Chen, K Sun, H Zheng… - Remote Sensing, 2024 - mdpi.com
The challenge of detecting changes in high-resolution remote sensing imagery often stems
from the difficulties in effectively extracting features and constructing appropriate change …
from the difficulties in effectively extracting features and constructing appropriate change …
Improving Unsupervised Object-Based Change Detection via Hierarchical Multi-Scale Binary Partition Tree Segmentation: A Case Study in the Yellow River Source …
Y Du, X He, L Chen, D Wang, W Jiao, Y Liu, G He… - Remote Sensing, 2024 - mdpi.com
Change detection in remote sensing enables identifying alterations in surface characteristics
over time, underpinning diverse applications. However, conventional pixel-based algorithms …
over time, underpinning diverse applications. However, conventional pixel-based algorithms …
A Heterogeneity-Enhancement and Homogeneity-Restraint Network (HEHRNet) for Change Detection from Very High-Resolution Remote Sensing Imagery
B Wang, A He, C Wang, X Xu, H Yang, Y Wu - Remote Sensing, 2023 - mdpi.com
Change detection (CD), a crucial technique for observing ground-level changes over time, is
a challenging research area in the remote sensing field. Deep learning methods for CD …
a challenging research area in the remote sensing field. Deep learning methods for CD …
Land cover classification from very high spatial resolution images via multiscale object-driven CNNs and automatic annotation
J Liao, J Cao, K Wang, Z Xu - Journal of Applied Remote …, 2022 - spiedigitallibrary.org
Very high spatial resolution (VHR) images are accessible for land-cover classification.
Because of the complex information and deep features associated with increased spatial …
Because of the complex information and deep features associated with increased spatial …
Urban Land Cover/Use Mapping and Change Detection Analysis Using Multi-Temporal Landsat OLI with Lidar-DEM and Derived TPI
CE Akumu, S Dennis - Photogrammetric Engineering & Remote …, 2022 - ingentaconnect.com
The mapping and change detection of land cover and land use are essential for urban
management. The aim of this study was to map and monitor the spatial and temporal change …
management. The aim of this study was to map and monitor the spatial and temporal change …