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You searched for: Journal International journal of remote sensing Remove constraint Journal: International journal of remote sensing Publication Year 2019 Remove constraint Publication Year: 2019 Source 2019 v.40 no.22 Remove constraint Source: 2019 v.40 no.22
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1. Accuracy assessment and waveform analysis of CryoSat-2 SARIn mode data over Antarctica

Author:
Wang, Fang; Bamber, Jonathan L.; Yang, Shuangbao; Cheng, Xiao; Liu, Shubin; Zhang, Youzhi; Chi, Yunping
Source:
International journal of remote sensing 2019 v.40 no.22 pp. 8418-8431
ISSN:
1366-5901
Subject:
altimeters; altimetry; dielectric properties; ice; remote sensing; roughness; synthetic aperture radar; topography; Antarctica
Abstract:
... The new synthetic aperture radar interferometric (SARIn) measurement mode of CryoSat-2 provides better performance on the rough topography of the ice sheet margins than that of conventional radar altimetry. We assess the accuracy of CryoSat-2 SARIn mode data from Baseline C product of the European Space Agency (ESA), through comparison with two airborne laser altimeters on NASA IceBridge missions. ...
DOI:
10.1080/01431161.2019.1610985

2. A comparison of longitude–latitude and Euclidean distance shape descriptors for determining tree crown shapes derived from LiDAR data

Author:
Sadeghinaeenifard, Fariba; Dong, Pinliang
Source:
International journal of remote sensing 2019 v.40 no.22 pp. 8432-8449
ISSN:
1366-5901
Subject:
evergreen trees; leaves; lidar; remote sensing; tree crown
Abstract:
... Previous studies demonstrate the effectiveness of the Euclidean distance shape descriptor for characterizing individual tree crowns derived from Light Detection and Ranging (LiDAR) data. This paper evaluates the effectiveness of the longitude–latitude shape descriptor for tree crown shape characterization in comparison with the Euclidean distance descriptor using LiDAR data for 43 individual tree ...
DOI:
10.1080/01431161.2019.1610986

3. An estimation of housing vacancy rate using NPP-VIIRS night-time light data and OpenStreetMap data

Author:
Wang, Luyao; Fan, Hong; Wang, Yankun
Source:
International journal of remote sensing 2019 v.40 no.22 pp. 8566-8588
ISSN:
1366-5901
Subject:
anthropogenic activities; cities; gross domestic product; image analysis; land use planning; models; prices; regression analysis; remote sensing; residential housing; socioeconomic factors; urban areas; urbanization; wastes; China
Abstract:
... As an informative proxy measure for a range of socio-economic variables, satellite-derived night-time light (NTL) data have been widely used to investigate the diverse anthropogenic activities and reveal urbanization development. Due to the rapid increase of Chinese urbanization rate, from 25.3% in 1987 to 58.5% in 2017, and ‘crazy expansion’ of city space, the sick phenomenon – ‘Ghost Town’ – has ...
DOI:
10.1080/01431161.2019.1615655

4. A new approach for obtaining precipitation estimates with a finer spatial resolution on a daily scale based on TMPA V7 data over the Tibetan Plateau

Author:
Ma, Ziqiang; He, Kang; Tan, Xiao; Liu, Yong; Lu, Hanyu; Shi, Zhou
Source:
International journal of remote sensing 2019 v.40 no.22 pp. 8465-8483
ISSN:
1366-5901
Subject:
hydrologic cycle; remote sensing; China
Abstract:
... Precipitation plays vital roles in the worldwide hydrological cycles. Gridded precipitation estimates with finer spatio-temporal resolutions are critical in various application fields. In this study, we focused on obtaining downscaled precipitation estimates (approximately1 km) at daily scale over the Tibetan Plateau (TP), which was considered as a great challenge in previous downscaling studies. ...
DOI:
10.1080/01431161.2019.1612118

5. Assessment of Aquarius sea surface salinity with Argo in the Bay of Bengal

Author:
Lin, Xinyu; Qiu, Yun; Cha, Jing; Guo, Xiaogang
Source:
International journal of remote sensing 2019 v.40 no.22 pp. 8547-8565
ISSN:
1366-5901
Subject:
algorithms; coasts; data collection; information processing; rain; remote sensing; salinity; satellites; seasonal variation; Bay of Bengal; Indonesia
Abstract:
... This study validates three Aquarius sea surface salinity (SSS) Level 2 products against Argo salinity in the Bay of Bengal (BoB) for the period 26 August 2011 through 30 April 2015. The Aquarius SSS products used here include the standard product processed by the Aquarius Data Processing System (ADPS) and two data sets from the Jet Propulsion Laboratory (JPL): the Combined Active-Passive algorithm ...
DOI:
10.1080/01431161.2019.1615654

6. Combining multi-scale textural features from the panchromatic bands of high spatial resolution images with ANN and MLC classification algorithms to extract urban land uses

Author:
Saboori, Mojtaba; Asghar Torahi, Ali; Reza Riyahi Bakhtyari, Hamid
Source:
International journal of remote sensing 2019 v.40 no.22 pp. 8608-8634
ISSN:
1366-5901
Subject:
algorithms; altitude; bitumen; land use; neural networks; panchromatic imagery; regression analysis; satellites; spectral analysis; texture; vegetation
Abstract:
... High spatial resolution images have been increasingly used for urban land-use classification, but high spectral variations within same land use, the spectral confusion among different land uses, and the shadow problem often lead to poor classification performance of the traditional per-pixel classification methods. Main objectives of this paper were to extract phenomena with different altitudes wi ...
DOI:
10.1080/01431161.2019.1620371

7. Convolutional neural network based heterogeneous transfer learning for remote-sensing scene classification

Author:
Zhao, Huizhen; Liu, Fuxian; Zhang, Han; Liang, Zhibing
Source:
International journal of remote sensing 2019 v.40 no.22 pp. 8506-8527
ISSN:
1366-5901
Subject:
aerial photography; classification; data collection; filters; image analysis; learning; models; principal component analysis; remote sensing
Abstract:
... Deep convolutional neural network (CNN) transfer has recently shown strong performance in scene classification of high-resolution remote-sensing images. However, the majority of transfer learning solutions are categorized as homogeneous transfer learning, which ignores differences between target and source domains. In this paper, we propose a heterogeneous model to transfer CNNs to remote-sensing ...
DOI:
10.1080/01431161.2019.1615652

8. Do soil-adjusted or standard vegetation indices better predict above ground biomass of semi-arid, saline rangelands in North-East Iran?

Author:
Gholami Baghi, Naghmeh; Oldeland, Jens
Source:
International journal of remote sensing 2019 v.40 no.22 pp. 8223-8235
ISSN:
1366-5901
Subject:
aboveground biomass; arid lands; models; moderate resolution imaging spectroradiometer; normalized difference vegetation index; prediction; rangelands; regression analysis; remote sensing; satellites; soil; vegetation cover; Iran
Abstract:
... Satellite remote sensing has greatly facilitated the assessment of aboveground biomass in rangelands. Soil-adjusted vegetation indices have been developed to provide better predictions of aboveground biomass, especially for dryland regions. Semi-arid rangelands often complicate a remote sensing based assessment of aboveground biomass due to bright reflecting soils combined with sparse vegetation c ...
DOI:
10.1080/01431161.2019.1606958

9. Incorporating nocturnal UAV side-view images with VIIRS data for accurate population estimation: a test at the urban administrative district scale

Author:
Kong, Wenyuan; Cheng, Jingyi; Liu, Xin; Zhang, Fan; Fei, Teng
Source:
International journal of remote sensing 2019 v.40 no.22 pp. 8528-8546
ISSN:
1366-5901
Subject:
anthropogenic activities; buildings; data collection; geometry; highways; image analysis; light; orthophotography; population density; regression analysis; remote sensing; satellites; spatial data; unmanned aerial vehicles; urban areas; urban population
Abstract:
... In contrast to daytime remote sensing used for observing the Earth, night-time light remote sensing with satellites primarily assesses human activity using urban parameters such as building lights or lighted highways to help determine population density and other habitation characteristics. One limitation to conventional night-time remote sensing is that light emitted from high-rise buildings, for ...
DOI:
10.1080/01431161.2019.1615653

10. Loss of terrestrial water storage in the Tianshan mountains from 2003 to 2015

Author:
Deng, Haijun; Chen, Yaning; Li, Qihu; Lin, Guangfa
Source:
International journal of remote sensing 2019 v.40 no.22 pp. 8342-8358
ISSN:
1366-5901
Subject:
climate; climate change; data collection; freshwater; glaciers; mountains; remote sensing; seasonal variation; shrinkage; snowpack; spatial variation; temperature; water resources; water storage; Central Asia
Abstract:
... The Tianshan Mountains region in Central Asia is covered with a large mass of glaciers and seasonal snow cover. This region supplies the main freshwater resources for Central Asia but has been severely affected by climate change over the past decades. In this study, we use the Gravity Recovery and Climate Experiment (GRACE) and Global Land Data Assimilation System (GLDAS) datasets to analyze the s ...
DOI:
10.1080/01431161.2019.1608392

11. Manifold regularized sparse representation of injected details for pansharpening

Author:
Fei, Rongrong; Zhang, Jiang-She; Liu, Junmin; Du, Fang; Chang, Peiju; Hu, Junying
Source:
International journal of remote sensing 2019 v.40 no.22 pp. 8395-8417
ISSN:
1366-5901
Subject:
data collection; geometry; models; multispectral imagery; remote sensing
Abstract:
... Pansharpening with sparse representation (SR) and details injection (ID) can both produce visually and quantitatively pleasing images. The former constructs pansharpened image by combining the dictionary and estimated sparse coefficients while the later by sharpening the multispectral bands through adding the proper spatial details from panchromatic (Pan) image. The combination of these two method ...
DOI:
10.1080/01431161.2019.1610984

12. MAP image reconstruction for landmine and IED detection using ground penetrating radar

Author:
Anderson, John M. M.; Ode, Oludotun; Ndoye, Mandoye; Mair, Bernard
Source:
International journal of remote sensing 2019 v.40 no.22 pp. 8298-8321
ISSN:
1366-5901
Subject:
algorithms; electromagnetic radiation; ground-penetrating radar; probability distribution; remote sensing
Abstract:
... In this article, we develop an iterative maximum a posteriori (MAP) estimation algorithm for reconstructing sub-surface images from ground penetrating radar (GPR) data. Note, the larger goal of our research is to use the resulting GPR images, along with appropriate detection algorithms, to identify landmines and improvised explosive devices. A typical scene-of-interest is expected to contain only ...
DOI:
10.1080/01431161.2019.1608385

13. Moving vehicle detection, tracking and traffic parameter estimation from a satellite video: a perspective on a smarter city

Author:
Ahmadi, Seyed Ali; Ghorbanian, Arsalan; Mohammadzadeh, Ali
Source:
International journal of remote sensing 2019 v.40 no.22 pp. 8379-8394
ISSN:
1366-5901
Subject:
equipment; monitoring; remote sensing; satellites; space and time; traffic; urban areas
Abstract:
... Satellite remote sensing is undergoing a revolution in terms of sensors and temporal coverage. The possibility of acquiring earth’s surface video from space provides an opportunity to investigate broader applications of remote sensing. High-resolution spaceborne videos can become a vital factor in earth observation. Temporally continuous tracking of moving objects, i.e. vehicles, vessels, or even ...
DOI:
10.1080/01431161.2019.1610983

14. Multi-scale approach to estimating aboveground biomass in the Brazilian Amazon using Landsat and LiDAR data

Author:
Santos, Erone Ghizoni Dos; Shimabukuro, Yosio Edemir; Mendes De Moura, Yhasmin; Gonçalves, Fabio Guimarães; Jorge, Anderson; Gasparini, Kaio Alan; Arai, Egidio; Duarte, Valdete; Ometto, Jean Pierre
Source:
International journal of remote sensing 2019 v.40 no.22 pp. 8635-8645
ISSN:
1366-5901
Subject:
Landsat; aboveground biomass; carbon; ecosystems; emissions; lidar; logging; remote sensing; tropical forests; Amazonia; Brazil
Abstract:
... Forest degradation from either natural or anthropogenic drivers involves processes that change the capacity of the ecosystem to provide services. In Brazil, estimates of carbon emissions do not currently take into account emissions from forest degradation caused by fire or by selective logging. Here, we present a methodology to estimate aboveground biomass in forest degradedareas, that can be acco ...
DOI:
10.1080/2150704X.2019.1619955

15. Noise reduction and feature extraction based on low-rank representation and pairwise constraint preserving for hyperspectral images

Author:
Ahmadi, Seyyed Ali; Mehrshad, Nasser; Razavi, Seyyed Mohammad
Source:
International journal of remote sensing 2019 v.40 no.22 pp. 8236-8269
ISSN:
1366-5901
Subject:
algorithms; artificial intelligence; data collection; hyperspectral imagery; quantitative analysis; remote sensing
Abstract:
... Feature extraction (FE) methods play a central role in the classification of hyperspectral images (HSIs). However, all traditional FE methods work in original feature space (OFS), OFS may suffer from noise, outliers and poorly discriminative features. This paper presents a feature space enriching technique to address the problems of noise, outliers and poorly discriminative features which may exis ...
DOI:
10.1080/01431161.2019.1607980

16. Permanent disappearance and seasonal fluctuation of urban lake area in Wuhan, China monitored with long time series remotely sensed images from 1987 to 2016

Author:
Shi, Lingfei; Ling, Feng; Foody, Giles M; Chen, Cheng; Fang, Shiming; Li, Xiaodong; Zhang, Yihang; Du, Yun
Source:
International journal of remote sensing 2019 v.40 no.22 pp. 8484-8505
ISSN:
1366-5901
Subject:
Landsat; climate change; lakes; remote sensing; seasonal variation; shrinkage; time series analysis; urban areas; urbanization; China
Abstract:
... Lakes are important to the healthy functioning of the urban ecosystem. The urban lakes in Wuhan, China, which is known as ‘city of hundreds of lakes’, are facing substantial threats mainly due to rapid urbanization. This paper focused on detecting the spatial and temporal change of urban lakes in Wuhan, using a long time series of Landsat and HJ-1A remotely sensed data from 1987 to 2016. The perma ...
DOI:
10.1080/01431161.2019.1612119

17. Remote sensing the orographic effects of dry-hot valley on vegetation distribution in the southeast Tibetan Plateau

Author:
Zhang, Wenjiang; Liu, Li; Song, Kechao; Li, Xiaodong; Wang, Yidong; Tang, Yi; Jiang, Huiru
Source:
International journal of remote sensing 2019 v.40 no.22 pp. 8589-8607
ISSN:
1366-5901
Subject:
altitude; deuterium oxide; ecosystems; global warming; heat; mountains; population distribution; remote sensing; rivers; satellites; surface temperature; valleys; vapors; vegetation cover; vegetation index; water stress; wind; China
Abstract:
... Mountains in the southeast Tibetan Plateau (TP) often intercept and precipitate abundant monsoon-transported vapours, but some deep valleys of this region are likely subjected to heavy water stress possibly related to orographic effects. Understanding the orographic effects of these dry-hot valleys (DHV) on vegetation distribution is crucial to project local ecological response to global warming. ...
DOI:
10.1080/01431161.2019.1620370

18. Rethinking labelling in road segmentation

Author:
Yuan, Man; Liu, Zhi; Wang, Fan; Jin, Fei
Source:
International journal of remote sensing 2019 v.40 no.22 pp. 8359-8378
ISSN:
1366-5901
Subject:
algorithms; cost effectiveness; data collection; global positioning systems; models; remote sensing; roads
Abstract:
... Deep models are extremely data hungry. Their success is being driven by the availability of large amounts of data for training. For semantic segmentation tasks on aerial and satellite imagery, a major dilemma at present is that it still relies heavily on manual labelling of data. Among these tasks, the semantic segmentation of road is special since it is possible to use auxiliary data, such as GPS ...
DOI:
10.1080/01431161.2019.1608393

19. Saliency detection based on self-adaptive multiple feature fusion for remote sensing images

Author:
Zhang, Libao; Liu, Yanan; Zhang, Jue
Source:
International journal of remote sensing 2019 v.40 no.22 pp. 8270-8297
ISSN:
1366-5901
Subject:
color; image analysis; models; remote sensing; texture; wavelet
Abstract:
... Saliency detection has been revealed an effective and reliable approach to extract the region of interest (ROI) in remote sensing images. However, most existing saliency detection methods employing multiple saliency cues ignore the intrinsic relationship between different cues and do not distinguish the diverse contributions of different cues to the final saliency map. In this paper, we propose a ...
DOI:
10.1080/01431161.2019.1608384

20. Surface deformation over the buried Nasr Abad salt diapir, Central Iran using interferometric synthetic aperture radar data

Author:
Roosta, Hasan
Source:
International journal of remote sensing 2019 v.40 no.22 pp. 8322-8341
ISSN:
1366-5901
Subject:
basins; computer software; data collection; deformation; industrial wastes; interferometry; monitoring; oils; remote sensing; satellites; subsidence; synthetic aperture radar; temperature; tides; time series analysis; troposphere; waste disposal; Iran
Abstract:
... This study employs interferometric synthetic aperture radar (InSAR) data sets to monitor the surface deformation of the Nasr Abad buried salt diapir in the Central Basin of Iran. The Nasr Abad salt diapir is one of the largest buried salt diapirs in Iran and could be ideal site for oil/gas storage and industrial waste disposal. In this study, we use 40 advanced synthetic aperture radar (ASAR) imag ...
DOI:
10.1080/01431161.2019.1608386