A review of optical and SAR image deep feature fusion in semantic segmentation
With the advent of the era of high-resolution remote sensing, semantic segmentation
methods for solving pixel-level classification have been widely studied. Deep learning has …
methods for solving pixel-level classification have been widely studied. Deep learning has …
A novel image fusion method of multi-spectral and sar images for land cover classification
The fusion of multi-spectral and synthetic aperture radar (SAR) images could retain the
advantages of each data, hence benefiting accurate land cover classification. However …
advantages of each data, hence benefiting accurate land cover classification. However …
Optimum feature and classifier selection for accurate urban land use/cover mapping from very high resolution satellite imagery
Feature selection to reduce redundancies for efficient classification is necessary but usually
time consuming and challenging. This paper proposed a comprehensive analysis for …
time consuming and challenging. This paper proposed a comprehensive analysis for …
Urban land cover and land use classification using multispectral sentinal-2 imagery
In recent years, remote sensing data contains ample information about landcover due to the
advancements in remote sensing technology. Humans can utilize this data in agriculture …
advancements in remote sensing technology. Humans can utilize this data in agriculture …
Feature-based evidential reasoning for probabilistic risk analysis and prediction
Y Wang, L Zhang - Engineering Applications of Artificial Intelligence, 2021 - Elsevier
Risk analysis plays an important role in quality control in engineering projects for the
consideration of time, cost, safety, and the environment. This study proposes a feature …
consideration of time, cost, safety, and the environment. This study proposes a feature …
Understanding the dynamic mechanism of urban land use and population distribution evolution from a microscopic perspective
M Jin, L Wang, F Ge, B Xie - ISPRS International Journal of Geo …, 2022 - mdpi.com
With the advancement of urbanization, the contradiction in the man–land relationship
becomes more and more difficult to ignore. Investigation of the change in urban land use …
becomes more and more difficult to ignore. Investigation of the change in urban land use …
Multi-sensor complex network data fusion under the condition of uncertainty of coupling occurrence probability
X Li, S Xu - IEEE Sensors Journal, 2021 - ieeexplore.ieee.org
Based on the time and location information of nodes, multi-sensor complex networks can
achieve high-speed and low-delay exchange of control and sensor data between sensor …
achieve high-speed and low-delay exchange of control and sensor data between sensor …
Analysis of land use and land cover changes and their impact on temperature using landsat satellite imageries
Urban growth and the changing scenario of Land Use and Land Cover (LULC) have been
an increasing trend in both towns and cities. The higher rate of transformation from non-built …
an increasing trend in both towns and cities. The higher rate of transformation from non-built …
Beyond traditional methods: Innovative integration of LISS IV and Sentinel 2A imagery for unparalleled insight into Himalayan ibex habitat suitability
The utilization of satellite images in conservation research is becoming more prevalent due
to advancements in remote sensing technologies. To achieve accurate classification of …
to advancements in remote sensing technologies. To achieve accurate classification of …
[PDF][PDF] Mapping Urban Tree Species in a Tropical Environment Using Airborne Multispectral and LiDAR Data
PHA Cruz - 2021 - run.unl.pt
Accurate and up-to-date urban tree inventory is an essential resource for the development of
strategies towards sustainable urban planning, as well as for effective management and …
strategies towards sustainable urban planning, as well as for effective management and …