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Remote Sensing, Volume 12, Issue 10

May-2 2020 - 162 articles

Cover Story: Currently, a growing demand exists for individual building mapping in regions of rapid urban growth in less-developed countries. Here, we present a new convolutional neural network architecture (CNN) called U-net-id specifically designed for the instance segmentation of buildings in very high-resolution satellite imagery. The architecture is built to work with image in tiles, such as remote sensing images, and to reduce the minimum information that needs to be provided by the user—only the images for prediction or only the images and the labelled masks for training. The U-net-id architecture achieves great performance in instance segmentation of the instance building dataset of the city of Joanópolis-SP, Brazil, with a median Intersection over Union of 0.694. Due to the model architecture simplicity, it could easily be reproduced and used for buildings or tested for instance segmentation of other objects in very high-resolution images.

Articles (162)

  • Article
  • Open Access
44 Citations
8,394 Views
26 Pages

Detection of Grapevine Leafroll-Associated Virus 1 and 3 in White and Red Grapevine Cultivars Using Hyperspectral Imaging

  • Nele Bendel,
  • Anna Kicherer,
  • Andreas Backhaus,
  • Janine Köckerling,
  • Michael Maixner,
  • Elvira Bleser,
  • Hans-Christian Klück,
  • Udo Seiffert,
  • Ralf T. Voegele and
  • Reinhard Töpfer

25 May 2020

Grapevine leafroll disease (GLD) is considered one of the most widespread grapevine virus diseases, causing severe economic losses worldwide. To date, six grapevine leafroll-associated viruses (GLRaVs) are known as causal agents of the disease, of wh...

  • Article
  • Open Access
25 Citations
4,747 Views
16 Pages

25 May 2020

The southeast coastal area of China (SCAC), a typhoon-prone area with a long coastline, suffers severe damage from typhoons almost every year. Exploring the spatial characteristics of historical typhoon-induced vegetation damage (VD) is crucial to pr...

  • Article
  • Open Access
7 Citations
4,258 Views
17 Pages

Micro-Pulse Lidar Cruising Measurements in Northern South China Sea

  • Yuan Li,
  • Baomin Wang,
  • Shao-Yi Lee,
  • Zhijie Zhang,
  • Ye Wang and
  • Wenjie Dong

25 May 2020

A shipborne micro-pulse lidar (Sigma Space Mini-MPL) was used to measure aerosol extinction coefficient over the northern region of the South China Sea from 9 August to 7 September 2016, the first time a mini-MPL was used for aerosol observation over...

  • Article
  • Open Access
14 Citations
3,711 Views
18 Pages

Fuzzy Superpixels Based Semi-Supervised Similarity-Constrained CNN for PolSAR Image Classification

  • Yuwei Guo,
  • Zhuangzhuang Sun,
  • Rong Qu,
  • Licheng Jiao,
  • Fang Liu and
  • Xiangrong Zhang

25 May 2020

Recently, deep learning has been highly successful in image classification. Labeling the PolSAR data, however, is time-consuming and laborious and in response semi-supervised deep learning has been increasingly investigated in PolSAR image classifica...

  • Article
  • Open Access
2 Citations
3,917 Views
20 Pages

24 May 2020

Laser return intensity (LRI) information obtained from airborne laser scanning (ALS) data has been used to classify land cover types and to reveal canopy physiological features. However, the sensor-related and environmental parameters may introduce n...

  • Article
  • Open Access
22 Citations
5,028 Views
23 Pages

24 May 2020

Building extraction and change detection are two important tasks in the remote sensing domain. Change detection between airborne laser scanning data and photogrammetric data is vulnerable to dense matching errors, mis-alignment errors and data gaps....

  • Article
  • Open Access
6 Citations
4,144 Views
22 Pages

Temporal Calibration of an Evaporation-Based Spatial Disaggregation Method of SMOS Soil Moisture Data

  • Vivien-Georgiana Stefan,
  • Olivier Merlin,
  • Maria-José Escorihuela,
  • Beatriz Molero,
  • Jamal Chihrane,
  • Josep Maria Villar and
  • Salah Er-Raki

23 May 2020

The resolution of current satellite surface soil moisture (SM) estimates is very low, of tens of kilometers, which proves to be insufficient for various agricultural and hydrological applications. Amongst the existing downscaling approaches of remote...

  • Feature Paper
  • Article
  • Open Access
53 Citations
6,372 Views
15 Pages

Diversity of Algorithm and Spectral Band Inputs Improves Landsat Monitoring of Forest Disturbance

  • Warren B. Cohen,
  • Sean P. Healey,
  • Zhiqiang Yang,
  • Zhe Zhu and
  • Noel Gorelick

23 May 2020

Disturbance monitoring is an important application of the Landsat times series, both to monitor forest dynamics and to support wise forest management at a variety of spatial and temporal scales. In the last decade, there has been an acceleration in t...

  • Article
  • Open Access
17 Citations
4,031 Views
16 Pages

Two-Path Network with Feedback Connections for Pan-Sharpening in Remote Sensing

  • Shipeng Fu,
  • Weihua Meng,
  • Gwanggil Jeon,
  • Abdellah Chehri,
  • Rongzhu Zhang and
  • Xiaomin Yang

23 May 2020

High-resolution multi-spectral images are desired for applications in remote sensing. However, multi-spectral images can only be provided in low resolutions by optical remote sensing satellites. The technique of pan-sharpening wants to generate high-...

  • Article
  • Open Access
8 Citations
9,469 Views
33 Pages

Satellite Imagery-Based Damage Assessment on Nineveh and Nebi Yunus Archaeological Site in Iraq

  • Emanuele Angiuli,
  • Epifanio Pecharromán,
  • Pablo Vega Ezquieta,
  • Maria Gorzynska and
  • Ionut Ovejanu

23 May 2020

During the last decades, archaeological site looting throughout Iraq has increased significantly up to a point where some of the most famous and relevant ancient Mesopotamian cities are currently threatened in their integrity. Several important archa...

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Remote Sens. - ISSN 2072-4292