Results 21 to 30 of about 33,441 (257)
Deep Siamese Networks Based Change Detection with Remote Sensing Images
Remote Sensing, 2021 Although considerable success has been achieved in change detection on optical remote sensing images, accurate detection of specific changes is still challenging. Due to the diversity and complexity of the ground surface changes and the increasing demand
Le Yang +4 more
doaj +1 more source
Semantic Approach in Image Change Detection [PDF]
, 2013 Change detection is a main issue in various domains, and especially for remote sensing purposes. Indeed, plethora of geospatial images are available and can be used to update geographical databases. In this paper, we propose a classification-based method to detect changes between a database and a more recent image.
Gressin, Adrien +3 more
openaire +2 more sources
ELMo and BERT in Semantic Change Detection for Russian [PDF]
, 2021 The 9th International Conference on Analysis of Images, Social Networks and Texts (AIST 2020)
Julia Rodina +3 more
openaire +2 more sources
Semantic Change Detection for the Romanian Language
2023 25th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing (SYNASC), 2023 Automatic semantic change methods try to identify the changes that appear over time in the meaning of words by analyzing their usage in diachronic corpora. In this paper, we analyze different strategies to create static and contextual word embedding models, i.e., Word2Vec and ELMo, on real-world English and Romanian datasets.
Truică, Ciprian-Octavian +2 more
openaire +2 more sources
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2020 Change detection in heterogeneous remote sensing images is crucial for disaster damage assessment. Recent methods use homogenous transformation, which transforms the heterogeneous optical and synthetic aperture radar (SAR) remote sensing images into the ...
Xiao Jiang +4 more
doaj +1 more source
SSCFNet: A Spatial-Spectral Cross Fusion Network for Remote Sensing Change Detection
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2023 Convolutional neural networks (CNNs) are data-driven methods that automatically extract the rich information embedded in remote sensing images. However, most current deep learning-based remote sensing image change detection methods prioritize high-level ...
Jiahao Wang +7 more
doaj +1 more source
Latent space unsupervised semantic segmentation
Frontiers in Physiology, 2023 The development of compact and energy-efficient wearable sensors has led to an increase in the availability of biosignals. To effectively and efficiently analyze continuously recorded and multidimensional time series at scale, the ability to perform ...
Knut J. Strommen +4 more
doaj +1 more source
Multitask learning for large-scale semantic change detection
Computer Vision and Image Understanding, 2019 Preprint submitted to Computer Vision and Image ...
Daudt, Rodrigo Caye +3 more
openaire +3 more sources
A Hierarchical Fusion SAR Image Change-Detection Method Based on HF-CRF Model
Remote Sensing, 2023 The mainstream methods for change detection in synthetic-aperture radar (SAR) images use difference images to define the initial change regions.
Jianlong Zhang +3 more
doaj +1 more source
Semantic Change Detection with Hypermaps
, 2016 Change detection is the study of detecting changes between two different images of a scene taken at different times. By the detected change areas, however, a human cannot understand how different the two images. Therefore, a semantic understanding is required in the change detection research such as disaster investigation.
Suzuki, Teppei +5 more
openaire +2 more sources