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 …
Semantic segmentation using Vision Transformers: A survey
H Thisanke, C Deshan, K Chamith… - … Applications of Artificial …, 2023 - Elsevier
Semantic segmentation has a broad range of applications in a variety of domains including
land coverage analysis, autonomous driving, and medical image analysis. Convolutional …
land coverage analysis, autonomous driving, and medical image analysis. Convolutional …
Asymmetric siamese networks for semantic change detection in aerial images
Given two multitemporal aerial images, semantic change detection (SCD) aims to locate the
land-cover variations and identify their change types with pixelwise boundaries. This …
land-cover variations and identify their change types with pixelwise boundaries. This …
Comprehensive survey of deep learning in remote sensing: theories, tools, and challenges for the community
In recent years, deep learning (DL), a rebranding of neural networks (NNs), has risen to the
top in numerous areas, namely computer vision (CV), speech recognition, and natural …
top in numerous areas, namely computer vision (CV), speech recognition, and natural …
A feature difference convolutional neural network-based change detection method
Change detection based on remote sensing (RS) images has a wide range of applications
in many fields. However, many existing approaches for detecting changes in RS images with …
in many fields. However, many existing approaches for detecting changes in RS images with …
A review of multi-class change detection for satellite remote sensing imagery
Q Zhu, X Guo, Z Li, D Li - Geo-spatial Information Science, 2024 - Taylor & Francis
Change Detection (CD) provides a research basis for environmental monitoring, urban
expansion and reconstruction as well as disaster assessment, by identifying the changes of …
expansion and reconstruction as well as disaster assessment, by identifying the changes of …
ESCNet: An end-to-end superpixel-enhanced change detection network for very-high-resolution remote sensing images
Change detection (CD), as one of the central problems in Earth observation, has attracted a
lot of research interest over recent decades. Due to the rapid development of satellite …
lot of research interest over recent decades. Due to the rapid development of satellite …
Unsupervised Change Detection in Satellite Images Using Principal Component Analysis and -Means Clustering
T Celik - IEEE geoscience and remote sensing letters, 2009 - ieeexplore.ieee.org
In this letter, we propose a novel technique for unsupervised change detection in
multitemporal satellite images using principal component analysis (PCA) and k-means …
multitemporal satellite images using principal component analysis (PCA) and k-means …
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 …
[图书][B] Machine learning methods in the environmental sciences: Neural networks and kernels
WW Hsieh - 2009 - books.google.com
Machine learning methods originated from artificial intelligence and are now used in various
fields in environmental sciences today. This is the first single-authored textbook providing a …
fields in environmental sciences today. This is the first single-authored textbook providing a …