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You searched for: Journal name Remote Sensing Remove constraint Journal name: Remote Sensing Publication year rev 7978-2022 Remove constraint Publication year rev: 7978-2022 Source 2022 v.14 no.5 Remove constraint Source: 2022 v.14 no.5
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1. Adaptive Feature Weights Based Double-Layer Multi-Objective Method for SAR Image Segmentation

Author:
Ruochen Liu; Minlei Xue; Haoyuan Lv
Source:
Remote Sensing 2022 v.14 no.5 pp. -
ISSN:
2072-4292
Subject:
image analysis; synthetic aperture radar; system optimization; texture
Abstract:
... The recently proposed multi-objective clustering methods convert the segmentation problem to a multi-objective optimization problem by extracting multiple features from an image to be segmented as clustering data. However, most of these methods fail to consider the impacts of different features on segmentation results when calculating the similarity using the Euclidean distance. In this paper, fea ...
DOI:
10.3390/rs14051117

2. Adaptive Square-Root Unscented Kalman Filter Phase Unwrapping with Modified Phase Gradient Estimation

Author:
Yansuo Zhang; Shubi Zhang; Yandong Gao; Shijin Li; Yikun Jia; Minggeng Li
Source:
Remote Sensing 2022 v.14 no.5 pp. -
ISSN:
2072-4292
Subject:
algorithms; interferometry; synthetic aperture radar
Abstract:
... Phase unwrapping (PU) is a key program in data processing in the interferometric synthetic aperture radar (InSAR) technique, and its accuracy directly affects the quality of final SAR data products. However, PU in regions with large gradient changes and high noise has always been a difficult problem. To overcome the limitation, this article proposes an adaptive square-root unscented Kalman filter ...
DOI:
10.3390/rs14051229

3. Affinity Propagation Based on Structural Similarity Index and Local Outlier Factor for Hyperspectral Image Clustering

Author:
Haimiao Ge; Liguo Wang; Haizhu Pan; Yuexia Zhu; Xiaoyu Zhao; Moqi Liu
Source:
Remote Sensing 2022 v.14 no.5 pp. -
ISSN:
2072-4292
Subject:
algorithms; data collection; hyperspectral imagery; wavelet
Abstract:
... In hyperspectral remote sensing, the clustering technique is an important issue of concern. Affinity propagation is a widely used clustering algorithm. However, the complex structure of the hyperspectral image (HSI) dataset presents challenge for the application of affinity propagation. In this paper, an improved version of affinity propagation based on complex wavelet structural similarity index ...
DOI:
10.3390/rs14051195

4. Airborne HySpex Hyperspectral Versus Multitemporal Sentinel-2 Images for Mountain Plant Communities Mapping

Author:
Marcin Kluczek; Bogdan Zagajewski; Marlena Kycko
Source:
Remote Sensing 2022 v.14 no.5 pp. -
ISSN:
2072-4292
Subject:
biodiversity; climate change; conifers; data collection; digital elevation models; flight; humans; landscapes; remote sensing; support vector machines; tourists
Abstract:
... Climate change and anthropopression significantly impact plant communities by leading to the spread of expansive and alien invasive plants, thus reducing their biodiversity. Due to significant elevation gradients, high-mountain plant communities in a small area allow for the monitoring of the most important environmental changes. Additionally, being a tourist attraction, they are exposed to direct ...
DOI:
10.3390/rs14051209

5. Alien Pulse Rejection in Concurrent Firing LIDAR

Author:
Gunzung Kim; Jeongsook Eom; Yongwan Park
Source:
Remote Sensing 2022 v.14 no.5 pp. -
ISSN:
2072-4292
Subject:
lidar; probability; signal-to-noise ratio
Abstract:
... Mobile pulse light detection and ranging (LIDAR) is an essential component of autonomous vehicles. The obstacle detection function of autonomous vehicles requires very low failure rates. With an increasing number of autonomous vehicles equipped with LIDAR sensors for use in the detection and avoidance of obstacles and for safe navigation through the environment, the probability of mutual interfere ...
DOI:
10.3390/rs14051129

6. Analysis of Ecological Blockage Pattern in Beijing Important Ecological Function Area, China

Author:
Jiangqi Xu; Jia Wang; Nina Xiong; Yuhan Chen; Lu Sun; Yutang Wang; Likun An
Source:
Remote Sensing 2022 v.14 no.5 pp. -
ISSN:
2072-4292
Subject:
biodiversity conservation; capital; ecological function; electronic circuits; habitat connectivity; habitat fragmentation; humans; probability; sustainable development; theoretical models; urban areas; China
Abstract:
... With the implementation of human activities, such as logging, reclamation, and construction, the increasing fragmentation of ecological space and the increasing blockage of biological migration corridors cause many threats to biodiversity conservation. In this study, we used the Northwest Beijing Ecological Containment Area as the research area. Based on an integrated circuit theoretical model, we ...
DOI:
10.3390/rs14051151

7. Analysis of the Periodic Component of Vertical Land Motion in the Po Delta (Northern Italy) by GNSS and Hydrological Data

Author:
Eleonora Vitagliano; Enza Vitale; Giacomo Russo; Leonardo Piccinini; Massimo Fabris; Domenico Calcaterra; Rosa Di Maio
Source:
Remote Sensing 2022 v.14 no.5 pp. -
ISSN:
2072-4292
Subject:
climate; data collection; deformation; geodesy; hydrologic data; hydrometeorology; river deltas; river water; satellites; soil water; subsidence; time series analysis; Italy
Abstract:
... Nowadays, several methodologies, implemented for satellite or terrestrial surveys, reveal that daily and weekly site-positioning time series can exhibit linear trends plus seasonal oscillations. Such periodic components affect the evaluation of subsidence rates and, thus, they must be recognized and properly modelled. In this work, the periodic component of vertical land motion in Po Delta (Northe ...
DOI:
10.3390/rs14051126

8. Applying Machine Learning and Time-Series Analysis on Sentinel-1A SAR/InSAR for Characterizing Arctic Tundra Hydro-Ecological Conditions

Author:
Michael Allan Merchant; Mayah Obadia; Brian Brisco; Ben DeVries; Aaron Berg
Source:
Remote Sensing 2022 v.14 no.5 pp. -
ISSN:
2072-4292
Subject:
cloud cover; digital elevation models; ecosystems; graminoids; hydrology; image analysis; interferometry; land cover; landscapes; mountains; polarimetry; solar radiation; standard deviation; synthetic aperture radar; time series analysis; topography; tundra
Abstract:
... Synthetic aperture radar (SAR) is a widely used tool for Earth observation activities. It is particularly effective during times of persistent cloud cover, low light conditions, or where in situ measurements are challenging. The intensity measured by a polarimetric SAR has proven effective for characterizing Arctic tundra landscapes due to the unique backscattering signatures associated with diffe ...
DOI:
10.3390/rs14051123

9. Assessing Variations in Water Use Efficiency and Linkages with Land-Use Changes Using Three Different Data Sources: A Case Study of the Yellow River, China

Author:
Huaiwei Sun; Lin Chen; Yong Yang; Mengge Lu; Hui Qin; Bingqian Zhao; Mengtian Lu; Jie Xue; Dong Yan
Source:
Remote Sensing 2022 v.14 no.5 pp. -
ISSN:
2072-4292
Subject:
Internet; case studies; ecosystems; eddy covariance; evapotranspiration; land cover; water conservation; water use efficiency; watersheds; China; Yellow River
Abstract:
... The dependence of water use efficiency (WUE) on changes in land cover types is crucial for understanding of long-term water availability and assessment of water-saving strategies. Investigating the impact of land cover types on ecosystem WUE has important implications when revealing water dynamics and land management. However, the determination of WUE and its dominant factors have always been subj ...
DOI:
10.3390/rs14051065

10. Assessing the Environmental Suitability for Transhumance in Support of Conflict Prevention in the Sahel

Author:
Maximilian Schwarz; Tobias Landmann; Damien Jusselme; Eduardo Zambrano; Jens Danzeglocke; Florian Siegert; Jonas Franke
Source:
Remote Sensing 2022 v.14 no.5 pp. -
ISSN:
2072-4292
Subject:
Sahel; climate change; data collection; dry season; migratory behavior; models; politics; risk; transhumance; Central African Republic; Chad
Abstract:
... Increasing conflicts between farmers and pastoralists continue to be a major challenge in the Sahel. Political and social factors are in tandem important underlying determinants for conflicts in the region, which are amplified by the variability and scarcity of natural resources, often as a result of climate variability and climate change. This study aimed at holistically assessing the main enviro ...
DOI:
10.3390/rs14051109

11. Assessing the Performance of Irrigation Systems in Large Scale Urban Parks: Application to the Case of Valdebebas, Madrid (Spain)

Author:
Freddy Canales-Ide; Sergio Zubelzu; Daniel Segovia-Cardozo; Leonor Rodríguez-Sinobas
Source:
Remote Sensing 2022 v.14 no.5 pp. -
ISSN:
2072-4292
Subject:
computer software; landscapes; satellites; urban development; urban parks; water supply; Spain
Abstract:
... This paper presents a novel approach to assess spatial and temporal irrigation performance in urban parks and can assist park manager/operator decisions in irrigation management. First, irrigation needs are estimated by traditional irrigation scheduling and the irrigation zones with similar water needs that share the same electric valve (hydrozones) are identified. Then, irrigation performance is ...
DOI:
10.3390/rs14051060

12. Automated Extraction of Ground Fissures Due to Coal Mining Subsidence Based on UAV Photogrammetry

Author:
Kun Yang; Zhenqi Hu; Yusheng Liang; Yaokun Fu; Dongzhu Yuan; Jiaxin Guo; Gensheng Li; Yong Li
Source:
Remote Sensing 2022 v.14 no.5 pp. -
ISSN:
2072-4292
Subject:
automation; coal; ecological restoration; photogrammetry; subsidence; China
Abstract:
... Widespread ground fissures caused by coal mining subsidence are a main cause of ecological destruction in coal mining areas, and the rapid monitoring of ground fissures is essential for ecological restoration. Traditional fissure monitoring technologies are time consuming and laborious. Therefore, we developed a method to automatically extract ground fissures from high-resolution UAV images. First ...
DOI:
10.3390/rs14051071

13. Automatic Generation of Urban Road 3D Models for Pedestrian Studies from LiDAR Data

Author:
David Fernández-Arango; Francisco-Alberto Varela-García; Diego González-Aguilera; Susana Lagüela-López
Source:
Remote Sensing 2022 v.14 no.5 pp. -
ISSN:
2072-4292
Subject:
data collection; lidar; models; scanners
Abstract:
... The point clouds acquired with a mobile LiDAR scanner (MLS) have high density and accuracy, which allows one to identify different elements of the road in them, as can be found in many scientific references, especially in the last decade. This study presents a methodology to characterize the urban space available for walking, by segmenting point clouds from data acquired with MLS and automatically ...
DOI:
10.3390/rs14051102

14. Biogeochemical Model Optimization by Using Satellite-Derived Phytoplankton Functional Type Data and BGC-Argo Observations in the Northern South China Sea

Author:
Chan Shu; Peng Xiu; Xiaogang Xing; Guoqiang Qiu; Wentao Ma; Robert J. W. Brewin; Stefano Ciavatta
Source:
Remote Sensing 2022 v.14 no.5 pp. -
ISSN:
2072-4292
Subject:
Bacillariophyceae; algorithms; chlorophyll; data collection; ecosystems; model uncertainty; models; particulate organic carbon; phytoplankton; remote sensing; satellites; South China Sea
Abstract:
... Marine biogeochemical models have been widely used to understand ecosystem dynamics and biogeochemical cycles. To resolve more processes, models typically increase in complexity, and require optimization of more parameters. Data assimilation is an essential tool for parameter optimization, which can reduce model uncertainty and improve model predictability. At present, model parameters are often a ...
DOI:
10.3390/rs14051297

15. Blind Remote Sensing Image Deblurring Using Local Binary Pattern Prior

Author:
Ziyu Zhang; Liangliang Zheng; Yongjie Piao; Shuping Tao; Wei Xu; Tan Gao; Xiaobin Wu
Source:
Remote Sensing 2022 v.14 no.5 pp. -
ISSN:
2072-4292
Subject:
algorithms; data collection; models; texture
Abstract:
... In this paper, an algorithm based on local binary pattern (LBP) is proposed to obtain clear remote sensing images under the premise of unknown causes of blurring. We find that LBP can completely record the texture features of the images, which will not change widely due to the generation of blur. Therefore, LBP prior is proposed, which can filter out the pixels containing important textures in the ...
DOI:
10.3390/rs14051276

16. Calculation of the Rub’ al Khali Sand Dune Volume for Estimating Potential Sand Sources

Author:
Fahad Almutlaq; Faten Nahas; Kevin Mulligan
Source:
Remote Sensing 2022 v.14 no.5 pp. -
ISSN:
2072-4292
Subject:
color; digital elevation models; dunes; landscapes; mineral content; oxidation; remote sensing; sand; West Asia
Abstract:
... The Rub’ al Khali desert (or Empty Quarter) is the largest and perhaps most significant sand sea in the world. Located on the southern Arabian Peninsula, the dune field has remained largely unexplored owing to the harsh clime and difficult terrain. This study takes advantage of geospatial technology (interpolations, supervised classification, minimum focal statistic) to extract information from th ...
DOI:
10.3390/rs14051216

17. Capsule–Encoder–Decoder: A Method for Generalizable Building Extraction from Remote Sensing Images

Author:
Zhenchao Tang; Calvin Yu-Chian Chen; Chengzhen Jiang; Dongying Zhang; Weiran Luo; Zhiming Hong; Huaiwei Sun
Source:
Remote Sensing 2022 v.14 no.5 pp. -
ISSN:
2072-4292
Subject:
data collection; models; time series analysis; Yellow River
Abstract:
... Due to the inconsistent spatiotemporal spectral scales, a remote sensing dataset over a large-scale area and over long-term time series will have large variations and large statistical distribution features, which will lead to a performance drop of the deep learning model that is only trained on the source domain. For building an extraction task, deep learning methods perform weak generalization f ...
DOI:
10.3390/rs14051235

18. Centennial Total Solar Irradiance Variation

Author:
Steven Dewitte; Jan Cornelis; Mustapha Meftah
Source:
Remote Sensing 2022 v.14 no.5 pp. -
ISSN:
2072-4292
Subject:
climate change; photometry; regression analysis; solar energy; solar radiation
Abstract:
... Total Solar Irradiance (TSI) quantifies the solar energy received by the Earth and therefore is of direct relevance for a possible solar influence on climate change on Earth. We analyse the TSI space measurements from 1991 to 2021, and we derive a regression model that reproduces the measured daily TSI variations with a Root Mean Square Error (RMSE) of 0.17 W/m². The daily TSI regression model use ...
DOI:
10.3390/rs14051072

19. Challenges with Regard to Unmanned Aerial Systems (UASs) Measurement of River Surface Velocity Using Doppler Radar

Author:
Filippo Bandini; Monica Coppo Frías; Jun Liu; Kasparas Simkus; Sofia Karagkiolidou; Peter Bauer-Gottwein
Source:
Remote Sensing 2022 v.14 no.5 pp. -
ISSN:
2072-4292
Subject:
Doppler radar; acoustics; foams; particle image velocimetry; rivers; sediments; sowing; streams; surface roughness; wood chips
Abstract:
... Surface velocity is traditionally measured with in situ techniques such as velocity probes (in shallow rivers) or Acoustic Doppler Current Profilers (in deeper water). In the last years, researchers have developed remote sensing techniques, both optical (e.g., image-based velocimetry techniques) and microwave (e.g., Doppler radar). These techniques can be deployed from Unmanned Aerial Systems (UAS ...
DOI:
10.3390/rs14051277

20. Change Analysis on the Spatio-Temporal Patterns of Main Crop Planting in the Middle Yangtze Plain

Author:
Luguang Jiang; Si Wu; Ye Liu
Source:
Remote Sensing 2022 v.14 no.5 pp. -
ISSN:
2072-4292
Subject:
Landsat; agricultural policy; corn; cotton; double cropping; economic development; lakes; models; paddies; phenology; planting; rapeseed; reflectance; rice; soybeans; winter wheat; China
Abstract:
... As a traditional agricultural production base in China, the Middle Yangtze Plain (MYP) is a typical region to explore the intensification, large-scale, and agglomeration of agricultural land, and its crop planting situation is sensitive to changes in national agricultural policy and economic development. So far, the research of crop remote sensing extraction mainly has focused on the areas with si ...
DOI:
10.3390/rs14051141