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Remote Sensing, Volume 15, Issue 14

July-2 2023 - 246 articles

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Cover Story: This paper proposes a UAV-based computer vision framework for individual tree detection and health assessment. The proposed approach involves a two-stage process. Firstly, we propose a tree detection model by employing a hard negative mining strategy using RGB UAV images. Subsequently, we address the health classification problem by leveraging multi-band imagery-derived vegetation indices. The proposed framework achieves an F1-score of 86.24% for tree detection and an overall accuracy of 97.52% for the tree health assessment. This study demonstrates the robustness of the proposed framework in accurately assessing orchard tree health from UAV images. Moreover, the proposed approach holds potential for application in various other plantation settings, enabling plant detection and health assessments using UAV imagery. View this paper

Articles (246)

  • Technical Note
  • Open Access
1,779 Views
18 Pages

Spatially Variant Error Elimination for High-Resolution UAV SAR with Extremely Small Incident Angle

  • Xintian Zhang,
  • Shiyang Tang,
  • Yi Ren,
  • Jiahao Han,
  • Chenghao Jiang,
  • Juan Zhang,
  • Yinan Li,
  • Tong Jiang and
  • Qi Dong

24 July 2023

Airborne synthetic aperture radar (SAR) is susceptible to atmospheric disturbance and other factors that cause the position offset error of the antenna phase center and motion error. In close-range detection scenarios, the large elevation angle may m...

  • Article
  • Open Access
5 Citations
2,639 Views
21 Pages

24 July 2023

Emerging smart cities and digital twins are currently built from heterogenous cutting-edge low-power remote sensing systems limited by diverse inefficient communication and information technologies. Future smart cities delivering time-critical servic...

  • Article
  • Open Access
7 Citations
3,044 Views
25 Pages

24 July 2023

The despeckling of synthetic aperture radar images using two different convolutional neural network architectures is presented in this paper. The first method presents a novel Siamese convolutional neural network with a dilated convolutional network...

  • Article
  • Open Access
1 Citations
1,850 Views
21 Pages

Locality Preserving Property Constrained Contrastive Learning for Object Classification in SAR Imagery

  • Jing Wang,
  • Sirui Tian,
  • Xiaolin Feng,
  • Bo Zhang,
  • Fan Wu,
  • Hong Zhang and
  • Chao Wang

24 July 2023

Robust unsupervised feature learning is a critical yet tough task for synthetic aperture radar (SAR) automatic target recognition (ATR) with limited labeled data. The developing contrastive self-supervised learning (CSL) method, which learns informat...

  • Article
  • Open Access
30 Citations
5,689 Views
22 Pages

An Improved VMD-LSTM Model for Time-Varying GNSS Time Series Prediction with Temporally Correlated Noise

  • Hongkang Chen,
  • Tieding Lu,
  • Jiahui Huang,
  • Xiaoxing He,
  • Kegen Yu,
  • Xiwen Sun,
  • Xiaping Ma and
  • Zhengkai Huang

24 July 2023

GNSS time series prediction plays a significant role in monitoring crustal plate motion, landslide detection, and the maintenance of the global coordinate framework. Long short-term memory (LSTM) is a deep learning model that has been widely applied...

  • Communication
  • Open Access
9 Citations
2,753 Views
14 Pages

24 July 2023

A residual network (ResNet) model was proposed for estimating Chl-a concentrations in global oceans from the remote sensing reflectance (Rrs) observed by the Chinese ocean color and temperature scanner (COCTS) onboard the HY-1C satellite. A total of...

  • Article
  • Open Access
6 Citations
2,617 Views
17 Pages

24 July 2023

The TanDEM-X Digital Elevation Model (DEM) is limited by the radar side-view imaging mode, which still has gaps and anomalies that directly affect the application potential of the data. Many methods have been used to improve the accuracy of TanDEM-X...

  • Article
  • Open Access
6 Citations
2,905 Views
27 Pages

24 July 2023

Recent years have seen a rapid rise in the generation of high-resolution topographic data using custom-built or commercial-grade Unmanned Aerial Vehicles (UAVs). Though several studies have demonstrated the application potential of UAV data, signific...

  • Article
  • Open Access
5 Citations
2,491 Views
23 Pages

24 July 2023

In recent years, the development of super-resolution (SR) algorithms based on convolutional neural networks has become an important topic in enhancing the resolution of multi-channel remote sensing images. However, most of the existing SR models suff...

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