Convlstm Neural Network for Rice Field Classification from Sentinel-1A Sar Images
Taiwan's agriculture is an important national economic industry. Ensuring food security and stabilizing the food supply are the government's primary goals. The Agriculture and Food Agency (AFA) of the Executive Yuan's Council of Agriculture has conducted agricultural and food surveys...
Saved in:
Main Authors: | Chang, Yang-Lang, Tatini, Narendra Babu, Chen, Tsung-Hau, Wu, Meng-Che, Chuah, Joon Huang, Chen, Yi-Ting, Chang, Lena |
---|---|
Format: | Conference or Workshop Item |
Published: |
IEEE
2022
|
Subjects: | |
Online Access: | http://eprints.um.edu.my/40465/ |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Spatial-temporal neural network for rice field classification from SAR Images
by: Chang, Yang-Lang, et al.
Published: (2022) -
Detection and mapping of May 2021 flood in Beaufort, Sabah using Sentinel-1 SAR and Sentinel-2 multispectral in Google Earth Engine
by: Stanley Anak Suab, et al.
Published: (2022) -
Coastal land-use mapping along Johore Straits using Sentinel 1-SAR data with maximizing parameterization of machine learning classification
by: Chen, Shin Yi, et al.
Published: (2022) -
Flood inundation mapping in the Kelantan River Basin, Malaysia, using Sentinel-1 SAR and Google Earth Engine
by: Yi, Lin Tew, et al.
Published: (2024) -
Challenges of InSAR DEM derivation with Sentinel-1 SAR in densely vegetated humid tropical environment
by: Chindo, Musa Muhammad, et al.
Published: (2023)