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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
20 Citations
8,287 Views
23 Pages

25 May 2020

In conducting land boundary verification surveys in digitalized cadastral areas in Taiwan, possible parcel points must be surveyed. These points are employed in the overlap analysis and map registration of possible parcel points and digitalized cadas...

  • Article
  • Open Access
125 Citations
9,847 Views
18 Pages

25 May 2020

Coastal wetlands are a critical component of the coastal landscape that are increasingly threatened by sea level rise and other human disturbance. Periodically mapping wetland distribution is crucial to coastal ecosystem management. Ensemble algorith...

  • Article
  • Open Access
46 Citations
5,224 Views
16 Pages

Evaluation of Himawari-8/AHI, MERRA-2, and CAMS Aerosol Products over China

  • Taixin Zhang,
  • Lin Zang,
  • Feiyue Mao,
  • Youchuan Wan and
  • Yannian Zhu

25 May 2020

Reliable aerosol optical depth (AOD) data with high spatial and temporal resolutions are needed for research on air pollution in China. AOD products from the Advanced Himawari Imager (AHI) onboard the geostationary Himawari-8 satellite and reanalysis...

  • Article
  • Open Access
225 Citations
14,838 Views
14 Pages

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

  • Amin Ullah,
  • Syed Muhammad Anwar,
  • Muhammad Bilal and
  • Raja Majid Mehmood

25 May 2020

The electrocardiogram (ECG) is one of the most extensively employed signals used in the diagnosis and prediction of cardiovascular diseases (CVDs). The ECG signals can capture the heart’s rhythmic irregularities, commonly known as arrhythmias....

  • Article
  • Open Access
26 Citations
5,015 Views
22 Pages

25 May 2020

The visual-inertial integrated navigation system (VINS) has been extensively studied over the past decades to provide accurate and low-cost positioning solutions for autonomous systems. Satisfactory performance can be obtained in an ideal scenario wi...

  • Article
  • Open Access
275 Citations
29,989 Views
29 Pages

Random Forest Spatial Interpolation

  • Aleksandar Sekulić,
  • Milan Kilibarda,
  • Gerard B.M. Heuvelink,
  • Mladen Nikolić and
  • Branislav Bajat

25 May 2020

For many decades, kriging and deterministic interpolation techniques, such as inverse distance weighting and nearest neighbour interpolation, have been the most popular spatial interpolation techniques. Kriging with external drift and regression krig...

  • Article
  • Open Access
69 Citations
8,583 Views
26 Pages

Ubiquitous GIS-Based Forest Fire Susceptibility Mapping Using Artificial Intelligence Methods

  • Seyed Vahid Razavi-Termeh,
  • Abolghasem Sadeghi-Niaraki and
  • Soo-Mi Choi

25 May 2020

This study aimed to prepare forest fire susceptibility mapping (FFSM) using a ubiquitous GIS and an ensemble of adaptive neuro fuzzy interface system (ANFIS) with genetic (GA) and simulated annealing (SA) algorithms (ANFIS-GA-SA) and an ensemble of r...

  • Review
  • Open Access
552 Citations
42,568 Views
35 Pages

Change Detection Based on Artificial Intelligence: State-of-the-Art and Challenges

  • Wenzhong Shi,
  • Min Zhang,
  • Rui Zhang,
  • Shanxiong Chen and
  • Zhao Zhan

25 May 2020

Change detection based on remote sensing (RS) data is an important method of detecting changes on the Earth’s surface and has a wide range of applications in urban planning, environmental monitoring, agriculture investigation, disaster assessme...

  • Article
  • Open Access
85 Citations
13,160 Views
18 Pages

Mapping the Global Mangrove Forest Aboveground Biomass Using Multisource Remote Sensing Data

  • Tianyu Hu,
  • YingYing Zhang,
  • Yanjun Su,
  • Yi Zheng,
  • Guanghui Lin and
  • Qinghua Guo

25 May 2020

Mangrove forest ecosystems are distributed at the land–sea interface in tropical and subtropical regions and play an important role in carbon cycles and biodiversity. Accurately mapping global mangrove aboveground biomass (AGB) will help us und...

  • Article
  • Open Access
8 Citations
3,846 Views
19 Pages

25 May 2020

The soil spectral dynamic feedback captured from high temporal resolution remote sensing data, such as MODIS, during the soil drying process after a rainfall could assist with digital soil mapping. However, this method is ineffective in utilizing the...

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Remote Sens. - ISSN 2072-4292