TOWARDS LIFELONG CROP RECOGNITION USING FULLY CONVOLUTIONAL RECURRENT NETWORKS AND SAR IMAGE SEQUENCES
Recent works have studied crop recognition in regions with highly complex spatio-temporal dynamics typical of a tropical climate. However, most proposals have only been evaluated in a single agricultural year, and their capabilities to generalize to dates outside the temporal sequence have not been...
Main Authors: | J. A. Chamorro, R. Q. Feitosa, P. N. Happ, J. D. Bermudez |
---|---|
Format: | Article |
Language: | English |
Published: |
Copernicus Publications
2021-06-01
|
Series: | The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
Online Access: | https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLIII-B2-2021/923/2021/isprs-archives-XLIII-B2-2021-923-2021.pdf |
Similar Items
-
A MANY-TO-MANY FULLY CONVOLUTIONAL RECURRENT NETWORK FOR MULTITEMPORAL CROP RECOGNITION
by: J. A. Chamorro, et al.
Published: (2019-09-01) -
[en] MANY-TO-MANY FULLY CONVOLUTIONAL RECURRENT NETWORKS FOR MULTITEMPORAL CROP RECOGNITION USING SAR IMAGE SEQUENCES
by: JORGE ANDRES CHAMORRO MARTINEZ
Published: (2020) -
A Lightweight Fully Convolutional Neural Network for SAR Automatic Target Recognition
by: Jimin Yu, et al.
Published: (2021-08-01) -
Fully Convolutional Sequence Recognition Network for Water Meter Number Reading
by: Fan Yang, et al.
Published: (2019-01-01) -
Multi-task fully convolutional networks for building segmentation on SAR image
by: Zenghui Zhang, et al.
Published: (2019-09-01)