ResearchTrend.AI
  • Communities
  • Connect sessions
  • AI calendar
  • Organizations
  • Join Slack
  • Contact Sales
Papers
Communities
Social Events
Terms and Conditions
Pricing
Contact Sales
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2026 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2004.12880
  4. Cited By
Improvement in Land Cover and Crop Classification based on Temporal
  Features Learning from Sentinel-2 Data Using Recurrent-Convolutional Neural
  Network (R-CNN)
v1v2 (latest)

Improvement in Land Cover and Crop Classification based on Temporal Features Learning from Sentinel-2 Data Using Recurrent-Convolutional Neural Network (R-CNN)

Applied Sciences (AS), 2019
27 April 2020
Vittorio Mazzia
Aleem Khaliq
Marcello Chiaberge
ArXiv (abs)PDFHTML

Papers citing "Improvement in Land Cover and Crop Classification based on Temporal Features Learning from Sentinel-2 Data Using Recurrent-Convolutional Neural Network (R-CNN)"

11 / 11 papers shown
SepHRNet: Generating High-Resolution Crop Maps from Remote Sensing
  imagery using HRNet with Separable Convolution
SepHRNet: Generating High-Resolution Crop Maps from Remote Sensing imagery using HRNet with Separable Convolution
Priyanka Goyal
Sohan Patnaik
Adway Mitra
Manjira Sinha
118
3
0
11 Jul 2023
The Canadian Cropland Dataset: A New Land Cover Dataset for
  Multitemporal Deep Learning Classification in Agriculture
The Canadian Cropland Dataset: A New Land Cover Dataset for Multitemporal Deep Learning Classification in Agriculture
Amanda A. Boatswain Jacques
Abdoulaye Baniré Diallo
Etienne Lord
282
4
0
31 May 2023
Mapping smallholder cashew plantations to inform sustainable tree crop
  expansion in Benin
Mapping smallholder cashew plantations to inform sustainable tree crop expansion in BeninRemote Sensing of Environment (RSE), 2023
Leikun Yin
Rahul Ghosh
Chenxi Lin
David Hale
Christoph Weigl
...
Jessica Till
X. Jia
Troy Mao
Vipin Kumar
Zhenong Jin
199
40
0
01 Jan 2023
A systematic review of the use of Deep Learning in Satellite Imagery for Agriculture
A systematic review of the use of Deep Learning in Satellite Imagery for AgricultureIEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (IEEE JSTARS), 2022
Brandon Victor
Zhen He
Aiden Nibali
452
31
0
03 Oct 2022
Self-supervised learning -- A way to minimize time and effort for
  precision agriculture?
Self-supervised learning -- A way to minimize time and effort for precision agriculture?The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences (ISPRS), 2022
Michael Marszalek
Bertrand Le Saux
P. Mathieu
A. Nowakowski
Daniel Springer
258
9
0
05 Apr 2022
Deep Semantic Segmentation at the Edge for Autonomous Navigation in
  Vineyard Rows
Deep Semantic Segmentation at the Edge for Autonomous Navigation in Vineyard Rows
Diego Aghi
Simone Cerrato
Vittorio Mazzia
Marcello Chiaberge
148
38
0
01 Jul 2021
Attention-augmented Spatio-Temporal Segmentation for Land Cover Mapping
Attention-augmented Spatio-Temporal Segmentation for Land Cover Mapping
Rahul Ghosh
Praveen Ravirathinam
X. Jia
Chenxi Lin
Zhenong Jin
Vipin Kumar
AI4TS
296
14
0
02 May 2021
Domain-Adversarial Training of Self-Attention Based Networks for Land
  Cover Classification using Multi-temporal Sentinel-2 Satellite Imagery
Domain-Adversarial Training of Self-Attention Based Networks for Land Cover Classification using Multi-temporal Sentinel-2 Satellite ImageryRemote Sensing (RS), 2021
Mauro Martini
Vittorio Mazzia
Aleem Khaliq
Marcello Chiaberge
232
45
0
01 Apr 2021
Spatio-temporal Crop Classification On Volumetric Data
Spatio-temporal Crop Classification On Volumetric DataInternational Conference on Information Photonics (ICIP), 2021
M. Qadeer
Salar Saeed
M. Taj
Abubakr Muhammad
151
3
0
18 Mar 2021
Indoor Point-to-Point Navigation with Deep Reinforcement Learning and
  Ultra-wideband
Indoor Point-to-Point Navigation with Deep Reinforcement Learning and Ultra-widebandInternational Conference on Agents and Artificial Intelligence (ICAART), 2020
Enrico Sutera
Vittorio Mazzia
Francesco Salvetti
Giovanni Fantin
Marcello Chiaberge
207
8
0
18 Nov 2020
Local Motion Planner for Autonomous Navigation in Vineyards with a RGB-D
  Camera-Based Algorithm and Deep Learning Synergy
Local Motion Planner for Autonomous Navigation in Vineyards with a RGB-D Camera-Based Algorithm and Deep Learning Synergy
Diego Aghi
Vittorio Mazzia
Marcello Chiaberge
157
63
0
26 May 2020
1
Page 1 of 1