skip to main content
Language:
Search Limited to: Search Limited to: Resource type Show Results with: Show Results with: Search type Index

Results 1 - 20 of 3,840  for All Library Resources

Results 1 2 3 4 5 next page
Refined by: Journal Title: Remote Sensing remove subject: Datasets remove
Result Number Material Type Add to My Shelf Action Record Details and Options
1
Review: Deep Learning on 3D Point Clouds
Material Type:
Article
Add to My Research

Review: Deep Learning on 3D Point Clouds

Remote sensing (Basel, Switzerland), 2020-06, Vol.12 (11), p.1729 [Peer Reviewed Journal]

ISSN: 2072-4292 ;EISSN: 2072-4292 ;DOI: 10.3390/rs12111729

Full text available

2
A Spatial-Temporal Attention-Based Method and a New Dataset for Remote Sensing Image Change Detection
Material Type:
Article
Add to My Research

A Spatial-Temporal Attention-Based Method and a New Dataset for Remote Sensing Image Change Detection

Remote sensing (Basel, Switzerland), 2020-05, Vol.12 (10), p.1662 [Peer Reviewed Journal]

2020. This work is licensed under http://creativecommons.org/licenses/by/3.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 2072-4292 ;EISSN: 2072-4292 ;DOI: 10.3390/rs12101662

Full text available

3
Vision Transformers for Remote Sensing Image Classification
Material Type:
Article
Add to My Research

Vision Transformers for Remote Sensing Image Classification

Remote sensing (Basel, Switzerland), 2021-02, Vol.13 (3), p.516 [Peer Reviewed Journal]

2021. This work is licensed under http://creativecommons.org/licenses/by/3.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 2072-4292 ;EISSN: 2072-4292 ;DOI: 10.3390/rs13030516

Full text available

4
A SAR Dataset of Ship Detection for Deep Learning under Complex Backgrounds
Material Type:
Article
Add to My Research

A SAR Dataset of Ship Detection for Deep Learning under Complex Backgrounds

Remote sensing (Basel, Switzerland), 2019-04, Vol.11 (7), p.765 [Peer Reviewed Journal]

2019. This work is licensed under https://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 2072-4292 ;EISSN: 2072-4292 ;DOI: 10.3390/rs11070765

Full text available

5
Mangrove Ecosystem Mapping Using Sentinel-1 and Sentinel-2 Satellite Images and Random Forest Algorithm in Google Earth Engine
Material Type:
Article
Add to My Research

Mangrove Ecosystem Mapping Using Sentinel-1 and Sentinel-2 Satellite Images and Random Forest Algorithm in Google Earth Engine

Remote sensing (Basel, Switzerland), 2021-06, Vol.13 (13), p.2565 [Peer Reviewed Journal]

2021 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 2072-4292 ;EISSN: 2072-4292 ;DOI: 10.3390/rs13132565

Full text available

6
Google Earth Engine Open-Source Code for Land Surface Temperature Estimation from the Landsat Series
Material Type:
Article
Add to My Research

Google Earth Engine Open-Source Code for Land Surface Temperature Estimation from the Landsat Series

Remote sensing (Basel, Switzerland), 2020-05, Vol.12 (9), p.1471 [Peer Reviewed Journal]

2020. This work is licensed under http://creativecommons.org/licenses/by/3.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 2072-4292 ;EISSN: 2072-4292 ;DOI: 10.3390/rs12091471

Full text available

7
Copernicus Global Land Cover Layers—Collection 2
Material Type:
Article
Add to My Research

Copernicus Global Land Cover Layers—Collection 2

Remote sensing (Basel, Switzerland), 2020-03, Vol.12 (6), p.1044 [Peer Reviewed Journal]

2020. This work is licensed under http://creativecommons.org/licenses/by/3.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 2072-4292 ;EISSN: 2072-4292 ;DOI: 10.3390/rs12061044

Full text available

8
Object Detection and Image Segmentation with Deep Learning on Earth Observation Data: A Review-Part I: Evolution and Recent Trends
Material Type:
Article
Add to My Research

Object Detection and Image Segmentation with Deep Learning on Earth Observation Data: A Review-Part I: Evolution and Recent Trends

Remote sensing (Basel, Switzerland), 2020-05, Vol.12 (10), p.1667 [Peer Reviewed Journal]

2020. This work is licensed under http://creativecommons.org/licenses/by/3.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 2072-4292 ;EISSN: 2072-4292 ;DOI: 10.3390/rs12101667

Full text available

9
SAR Ship Detection Dataset (SSDD): Official Release and Comprehensive Data Analysis
Material Type:
Article
Add to My Research

SAR Ship Detection Dataset (SSDD): Official Release and Comprehensive Data Analysis

Remote sensing (Basel, Switzerland), 2021-09, Vol.13 (18), p.3690 [Peer Reviewed Journal]

2021 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 2072-4292 ;EISSN: 2072-4292 ;DOI: 10.3390/rs13183690

Full text available

10
Remote Sensing Image Scene Classification Using CNN-CapsNet
Material Type:
Article
Add to My Research

Remote Sensing Image Scene Classification Using CNN-CapsNet

Remote sensing (Basel, Switzerland), 2019-03, Vol.11 (5), p.494 [Peer Reviewed Journal]

2019. This work is licensed under https://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 2072-4292 ;EISSN: 2072-4292 ;DOI: 10.3390/rs11050494

Full text available

11
Weakly Supervised Deep Learning for Segmentation of Remote Sensing Imagery
Material Type:
Article
Add to My Research

Weakly Supervised Deep Learning for Segmentation of Remote Sensing Imagery

Remote sensing (Basel, Switzerland), 2020-01, Vol.12 (2), p.207 [Peer Reviewed Journal]

2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 2072-4292 ;EISSN: 2072-4292 ;DOI: 10.3390/rs12020207

Full text available

12
NDVI Dynamics and Its Response to Climate Change and Reforestation in Northern China
Material Type:
Article
Add to My Research

NDVI Dynamics and Its Response to Climate Change and Reforestation in Northern China

Remote sensing (Basel, Switzerland), 2020-12, Vol.12 (24), p.4138 [Peer Reviewed Journal]

2020. This work is licensed under http://creativecommons.org/licenses/by/3.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 2072-4292 ;EISSN: 2072-4292 ;DOI: 10.3390/rs12244138

Full text available

13
Deep Learning-Based Change Detection in Remote Sensing Images: A Review
Material Type:
Article
Add to My Research

Deep Learning-Based Change Detection in Remote Sensing Images: A Review

Remote sensing (Basel, Switzerland), 2022-02, Vol.14 (4), p.871 [Peer Reviewed Journal]

2022 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 2072-4292 ;EISSN: 2072-4292 ;DOI: 10.3390/rs14040871

Full text available

14
Individual Tree-Crown Detection in RGB Imagery Using Semi-Supervised Deep Learning Neural Networks
Material Type:
Article
Add to My Research

Individual Tree-Crown Detection in RGB Imagery Using Semi-Supervised Deep Learning Neural Networks

Remote sensing (Basel, Switzerland), 2019-06, Vol.11 (11), p.1309 [Peer Reviewed Journal]

2019. This work is licensed under https://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 2072-4292 ;EISSN: 2072-4292 ;DOI: 10.3390/rs11111309

Full text available

15
A Survey on Deep Learning-Based Change Detection from High-Resolution Remote Sensing Images
Material Type:
Article
Add to My Research

A Survey on Deep Learning-Based Change Detection from High-Resolution Remote Sensing Images

Remote sensing (Basel, Switzerland), 2022-04, Vol.14 (7), p.1552 [Peer Reviewed Journal]

2022 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 2072-4292 ;EISSN: 2072-4292 ;DOI: 10.3390/rs14071552

Full text available

16
Evaluation of Different Machine Learning Methods and Deep-Learning Convolutional Neural Networks for Landslide Detection
Material Type:
Article
Add to My Research

Evaluation of Different Machine Learning Methods and Deep-Learning Convolutional Neural Networks for Landslide Detection

Remote sensing (Basel, Switzerland), 2019-01, Vol.11 (2), p.196 [Peer Reviewed Journal]

2019. This work is licensed under https://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 2072-4292 ;EISSN: 2072-4292 ;DOI: 10.3390/rs11020196

Full text available

17
On the Performance of One-Stage and Two-Stage Object Detectors in Autonomous Vehicles Using Camera Data
Material Type:
Article
Add to My Research

On the Performance of One-Stage and Two-Stage Object Detectors in Autonomous Vehicles Using Camera Data

Remote sensing (Basel, Switzerland), 2021-01, Vol.13 (1), p.89 [Peer Reviewed Journal]

2021. This work is licensed under http://creativecommons.org/licenses/by/3.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 2072-4292 ;EISSN: 2072-4292 ;DOI: 10.3390/rs13010089

Full text available

18
Convolutional Neural Network for Remote-Sensing Scene Classification: Transfer Learning Analysis
Material Type:
Article
Add to My Research

Convolutional Neural Network for Remote-Sensing Scene Classification: Transfer Learning Analysis

Remote sensing (Basel, Switzerland), 2020-01, Vol.12 (1), p.86 [Peer Reviewed Journal]

2019 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 2072-4292 ;EISSN: 2072-4292 ;DOI: 10.3390/rs12010086

Full text available

19
Classification of Arrhythmia by Using Deep Learning with 2-D ECG Spectral Image Representation
Material Type:
Article
Add to My Research

Classification of Arrhythmia by Using Deep Learning with 2-D ECG Spectral Image Representation

Remote sensing (Basel, Switzerland), 2020-05, Vol.12 (10), p.1685 [Peer Reviewed Journal]

2020. This work is licensed under http://creativecommons.org/licenses/by/3.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 2072-4292 ;EISSN: 2072-4292 ;DOI: 10.3390/rs12101685

Full text available

20
A Wheat Spike Detection Method in UAV Images Based on Improved YOLOv5
Material Type:
Article
Add to My Research

A Wheat Spike Detection Method in UAV Images Based on Improved YOLOv5

Remote sensing (Basel, Switzerland), , Vol.13 (16), p.3095 [Peer Reviewed Journal]

2021 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 2072-4292 ;EISSN: 2072-4292 ;DOI: 10.3390/rs13163095

Full text available

Results 1 - 20 of 3,840  for All Library Resources

Results 1 2 3 4 5 next page

Personalize your results

  1. Edit

Refine Search Results

Expand My Results

  1.   

Searching Remote Databases, Please Wait