Multimodal hyperspectral remote sensing: An overview and perspective
Since the advent of hyperspectral remote sensing in the 1980s, it has made important
achievements in aerospace and aviation field and been applied in many fields. Conventional …
achievements in aerospace and aviation field and been applied in many fields. Conventional …
[HTML][HTML] A simple and effective spectral-spatial method for mapping large-scale coastal wetlands using China ZY1-02D satellite hyperspectral images
This paper proposes a simple and effective spatial-spectral (SESS) method for mapping
large-scale coastal wetlands using China ZY1-02D satellite hyperspectral data. First, the …
large-scale coastal wetlands using China ZY1-02D satellite hyperspectral data. First, the …
Aboveground biomass of salt-marsh vegetation in coastal wetlands: Sample expansion of in situ hyperspectral and Sentinel-2 data using a generative adversarial …
Coastal wetlands are main components of the “blue carbon” ecosystems in coastal zones.
Salt-marsh biomass is especially important regarding climate-change mitigation. Generating …
Salt-marsh biomass is especially important regarding climate-change mitigation. Generating …
[HTML][HTML] A hierarchical classification framework of satellite multispectral/hyperspectral images for mapping coastal wetlands
L Jiao, W Sun, G Yang, G Ren, Y Liu - Remote Sensing, 2019 - mdpi.com
Mapping different land cover types with satellite remote sensing data is significant for restoring
and protecting natural resources and ecological services in coastal wetlands. In this paper…
and protecting natural resources and ecological services in coastal wetlands. In this paper…
[HTML][HTML] Semi-supervised cross-domain feature fusion classification network for coastal wetland classification with hyperspectral and LiDAR data
F Guo, Z Li, Q Meng, G Ren, L Wang, J Wang… - International Journal of …, 2023 - Elsevier
Multi-source remote sensing monitoring plays a crucial part in the ecological protection and
restoration of coastal wetlands. However, due to the inaccessible of wetlands environment, …
restoration of coastal wetlands. However, due to the inaccessible of wetlands environment, …
Multisource feature embedding and interaction fusion network for coastal wetland classification with hyperspectral and LiDAR data
F Guo, Q Meng, Z Li, G Ren, L Wang… - … on Geoscience and …, 2024 - ieeexplore.ieee.org
With the development of Earth observation technology, hyperspectral image (HSI) and light
detection and ranging (LiDAR) data collaborative monitoring has shown great potential in the …
detection and ranging (LiDAR) data collaborative monitoring has shown great potential in the …
Hyperspectral coastal wetland classification based on a multiobject convolutional neural network model and decision fusion
Y Hu, J Zhang, Y Ma, J An, G Ren… - IEEE Geoscience and …, 2019 - ieeexplore.ieee.org
The phenomenon of spectral aliasing exists for coastal wetland object types, which leads to
class mixing. This letter proposes a multiobject convolutional neural network (CNN) decision …
class mixing. This letter proposes a multiobject convolutional neural network (CNN) decision …
Ecological effects analysis of Spartina alterniflora invasion within Yellow River delta using long time series remote sensing imagery
G Ren, Y Zhao, J Wang, P Wu, Y Ma - Estuarine, Coastal and Shelf Science, 2021 - Elsevier
Spartina alterniflora has caused serious ecological problems in the coastal zone of mainland
China. We used Landsat and HJ-1 satellite remote sensing images covering the Yellow …
China. We used Landsat and HJ-1 satellite remote sensing images covering the Yellow …
Gradient guided multi-scale feature collaboration networks for few-shot class-incremental remote sensing scene classification
W Wang, L Zhang, S Fu, P Ren, G Ren… - … on Geoscience and …, 2024 - ieeexplore.ieee.org
Few-shot class-incremental learning has recently received significant research focus in
remote sensing scene classification (FSCIL-RSSC). The success of FSCIL-RSSC relies on the …
remote sensing scene classification (FSCIL-RSSC). The success of FSCIL-RSSC relies on the …
Hyperspectral classification using deep belief networks based on conjugate gradient update and pixel-centric spectral block features
This article describes the use of deep belief networks (DBNs) based on the conjugate
gradient (CG) update algorithm for hyperspectral classification. DBNs perform two processes: …
gradient (CG) update algorithm for hyperspectral classification. DBNs perform two processes: …