A survey of machine learning and deep learning in remote sensing of geological environment: Challenges, advances, and opportunities
Due to limited resources and environmental pollution, monitoring the geological
environment has become essential for many countries' sustainable development. As various …
environment has become essential for many countries' sustainable development. As various …
Challenges and opportunities in Lidar remote sensing
Lidar (light detection and ranging, also LIDAR, LiDAR, and LADAR) advanced rapidly after
the invention of the laser in 1960 (Maiman, 1960; Woodbury et al., 1961; Smullin and Fiocco …
the invention of the laser in 1960 (Maiman, 1960; Woodbury et al., 1961; Smullin and Fiocco …
An overview of shoreline mapping by using airborne LiDAR
J Wang, L Wang, S Feng, B Peng, L Huang… - Remote Sensing, 2023 - mdpi.com
Since the shorelines are important geographical boundaries, monitoring shoreline change
plays an important role in integrated coastal management. With the evolution of remote …
plays an important role in integrated coastal management. With the evolution of remote …
MSResNet: Multiscale residual network via self-supervised learning for water-body detection in remote sensing imagery
Driven by the urgent demand for flood monitoring, water resource management and
environmental protection, water-body detection in remote sensing imagery has attracted …
environmental protection, water-body detection in remote sensing imagery has attracted …
Remote sensing of boreal wetlands 2: methods for evaluating boreal wetland ecosystem state and drivers of change
The following review is the second part of a two part series on the use of remotely sensed
data for quantifying wetland extent and inferring or measuring condition for monitoring …
data for quantifying wetland extent and inferring or measuring condition for monitoring …
Feasibility of hyperspectral single photon lidar for robust autonomous vehicle perception
Autonomous vehicle perception systems typically rely on single-wavelength lidar sensors to
obtain three-dimensional information about the road environment. In contrast to cameras …
obtain three-dimensional information about the road environment. In contrast to cameras …
Remote sensing of boreal wetlands 1: Data use for policy and management
Wetlands have and continue to undergo rapid environmental and anthropogenic
modification and change to their extent, condition, and therefore, ecosystem services. In this …
modification and change to their extent, condition, and therefore, ecosystem services. In this …
A hybrid capsule network for land cover classification using multispectral LiDAR data
Land cover mapping is an effective way to quantify land resources and monitor their
changes. It plays an important role in a wide range of applications. This letter proposes a …
changes. It plays an important role in a wide range of applications. This letter proposes a …
Using HSI color space to improve the multispectral lidar classification error caused by measurement geometry
B Chen, S Shi, J Sun, B Chen, K Guo… - … on Geoscience and …, 2020 - ieeexplore.ieee.org
Multispectral lidar has become a promising technology with the rise in capability of 3-D
spectral imaging. However, the precise acquisition of spectral information is interfered by …
spectral imaging. However, the precise acquisition of spectral information is interfered by …
Coupling of dual channel waveform ALS and sonar for investigation of lake bottoms and shore zones
In this work, we proposed to include remote sensing techniques as a part of the
methodology for natural lake bottom mapping, with a focus on the littoral zone. Due to the …
methodology for natural lake bottom mapping, with a focus on the littoral zone. Due to the …