Research on real-time analysis technology of urban land use based on support vector machine
Y Tian, C Chen, X Chen, Q Zhang, R Sun - Pattern Recognition Letters, 2020 - Elsevier
One of the main problems that traditional support vector machine (SVM) has to solve is how
to dynamically determine the kernel parameters and penalty parameters of the kernel …
to dynamically determine the kernel parameters and penalty parameters of the kernel …
Type identification of land use in metro station area based on spatial–temporal features extraction of human activities
D Xu, X Zhang, X Zhang, Y Yu - Sustainability, 2022 - mdpi.com
As a social carrier, a city is a place of human activities, and human activities also shape and
influence the city through its dynamic demand. The in-depth understanding of urban …
influence the city through its dynamic demand. The in-depth understanding of urban …
Extract of land use/cover information based on HJ satellites data and object-oriented classification
Y Zhu, Y Zeng, M Zhang - … of the Chinese Society of Agricultural …, 2017 - ingentaconnect.com
Land use/cover information is the basis for the study of regional climate and environment,
and the information security of land resources planning and management. However, the …
and the information security of land resources planning and management. However, the …
[PDF][PDF] Recognizing activities of daily living using 1D convolutional neural networks for efficient smart homes
Human activity recognition is considered a challenging task in sensor-based monitoring
systems. In ambient intelligent environments, such as smart homes, collecting data from …
systems. In ambient intelligent environments, such as smart homes, collecting data from …
Deep convolutional autoencoder for urban land use classification using mobile device data
Z Sun, Z Peng, Y Yu, H Jiao - International Journal of Geographical …, 2022 - Taylor & Francis
Mobile phone data can provide insightful location-based information on the interactions
between individuals and the urban environment, eg urban land-use types. Using mobile …
between individuals and the urban environment, eg urban land-use types. Using mobile …
[HTML][HTML] Support vector machine and neural network for enhanced classification algorithm in ecological data
R Prasad, MA Hussain, K Sridharan… - Measurement …, 2023 - Elsevier
The current economic scale is bigger and bigger, the social material living standard also
along is also getting higher and higher with the rapid economic growth. However, the …
along is also getting higher and higher with the rapid economic growth. However, the …
An integrated framework combining multiple human activity features for land use classification
P Ge, J He, S Zhang, L Zhang, J She - ISPRS International Journal of Geo …, 2019 - mdpi.com
Urban land use information is critical to urban planning, but the increasing complexity of
urban systems makes the accurate classification of land use extremely challenging. Human …
urban systems makes the accurate classification of land use extremely challenging. Human …
The area extraction of winter wheat in mixed planting area based on Sentinel-2 a remote sensing satellite images
M Wei, B Qiao, J Zhao, X Zuo - International Journal of Parallel …, 2020 - Taylor & Francis
The traditional area extraction method mainly depends on manual field survey methods, it is
workload, slow and high cost. While remote sensing technology has the advantages of …
workload, slow and high cost. While remote sensing technology has the advantages of …
Scene-level land use classification based on multi-features soft-probability cascading
Y Liu, L Wang, B Zhang, J Men - Transactions of the Chinese …, 2016 - ingentaconnect.com
High resolution remote sensing images (HRSI) provide abundant information on the textures
and terrain structures of a scene. In recent years, scene classification methods based on mid …
and terrain structures of a scene. In recent years, scene classification methods based on mid …
Parameter optimization strategy of random forest algorithm for land use classification
J Wei, B Zhao, J Shang, L Han, X Li… - … on Geoscience and …, 2023 - spiedigitallibrary.org
When using the random forest algorithm to classify remote sensing images of each target
year in the study area, the number of decision trees and the maximum number of features for …
year in the study area, the number of decision trees and the maximum number of features for …