[HTML][HTML] The segment anything model (sam) for remote sensing applications: From zero to one shot
Segmentation is an essential step for remote sensing image processing. This study aims to
advance the application of the Segment Anything Model (SAM), an innovative image …
advance the application of the Segment Anything Model (SAM), an innovative image …
A review of general methods for quantifying and estimating urban trees and biomass
M Yang, X Zhou, Z Liu, P Li, J Tang, B ** and coverage assessment in Brazil from high-resolution remote sensing images using deep learning
Urban tree canopy maps are essential for providing urban ecosystem services. The
relationship between urban trees and urban climate change, air pollution, urban noise …
relationship between urban trees and urban climate change, air pollution, urban noise …
LDS-YOLO: A lightweight small object detection method for dead trees from shelter forest
X Wang, Q Zhao, P Jiang, Y Zheng, L Yuan… - … and Electronics in …, 2022 - Elsevier
The detection and location of dead trees are extremely important for the management and
estimating naturalness of the forests, and timely replanting of dead trees can effectively …
estimating naturalness of the forests, and timely replanting of dead trees can effectively …
A review of remote sensing image segmentation by deep learning methods
Remote sensing (RS) images enable high-resolution information collection from complex
ground objects and are increasingly utilized in the earth observation research. Recently, RS …
ground objects and are increasingly utilized in the earth observation research. Recently, RS …
An active contour model based on local pre-piecewise fitting bias corrections for fast and accurate segmentation
G Wang, F Zhang, Y Chen, G Weng… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
The lack of grasp of the image information and the unstable fluctuation of the model energy
may cause segmentation failure of the active contour model (ACM). Minimizing the impact of …
may cause segmentation failure of the active contour model (ACM). Minimizing the impact of …
End‐to‐End Semantic Leaf Segmentation Framework for Plants Disease Classification
Pernicious insects and plant diseases threaten the food science and agriculture sector.
Therefore, diagnosis and detection of such diseases are essential. Plant disease detection …
Therefore, diagnosis and detection of such diseases are essential. Plant disease detection …
Pantanal is the largest continuous wetland in the world, but its biodiversity is currently
endangered by catastrophic wildfires that occurred in the last three years. The information …
endangered by catastrophic wildfires that occurred in the last three years. The information …
Speichern Zitieren Zitiert von: 25 PO Bressan, JM Junior, JAC Martins… - International Journal of …, 2022 - Elsevier
Abstract Recently, Convolutional Neural Networks (CNN) methods achieved impressive
success in semantic segmentation tasks. However, challenges like class imbalance around …
success in semantic segmentation tasks. However, challenges like class imbalance around …
[HTML][HTML] From roofs to renewables: Deep learning and geographic information systems insights into a comprehensive urban solar photovoltaic assessment for …
As urban solar photovoltaic (PV) construction emerges as a leading renewable energy
technology, there is a growing focus on its implementation. However, the challenges of …
technology, there is a growing focus on its implementation. However, the challenges of …