PubAg

Main content area

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 Subject algorithms Remove constraint Subject: algorithms
Start Over

Search

119  Search Results

« Previous | 1 - 20 of 119 |
Number of results to display per page

Search Results

1. Anthropogenic aerosol emissions mapping and characterization by imaging spectroscopy – application to a metallurgical industry and a petrochemical complex

Author:
Philippets, Yannick; Foucher, Pierre-Yves; Marion, Rodolphe; Briottet, Xavier
Source:
International journal of remote sensing 2019 v.40 no.1 pp. 364-406
ISSN:
1366-5901
Subject:
aerosols; algorithms; carbon; emissions; image analysis; industry; models; particle size; radiative transfer; reflectance; remote sensing; scanners; soil; spectroscopy; sulfates; vegetation; Belgium; France
Abstract:
... This paper is focused on the retrieval of industrial aerosol optical thickness (AOT) and microphysical properties by means of airborne imaging spectroscopy. Industrial emissions generally lead to optically thin plumes requiring an adapted detection method taking into account the weak proportion of particles sought in the atmosphere. To this end, a semi-analytical model combined with the Cluster-Tu ...
DOI:
10.1080/01431161.2018.1513665

2. Automatic detection of building roofs from point clouds produced by the dense image matching technique

Author:
Acar, Hayrettin; Karsli, Fevzi; Ozturk, Mehmet; Dihkan, Mustafa
Source:
International journal of remote sensing 2019 v.40 no.1 pp. 138-155
ISSN:
1366-5901
Subject:
aerial photography; algorithms; automatic detection; buildings; data collection; image analysis; landscapes; models; normalized difference vegetation index; remote sensing; roads; spatial data; structural roofs; topography; trees; vegetation cover
Abstract:
... Three-dimensional (3D) spatial information of object points is a vital requirement for many disciplines. Laser scanning technology and techniques based on image matching have been used extensively to produce 3D dense point clouds. These data are used frequently in various applications, such as the generation of digital surface model (DSM)/digital terrain model (DTM), extracting objects (e.g., buil ...
DOI:
10.1080/01431161.2018.1508915

3. Delineation of individual deciduous trees in plantations with low-density LiDAR data

Author:
Shao, Gang; Shao, Guofan; Fei, Songlin
Source:
International journal of remote sensing 2019 v.40 no.1 pp. 346-363
ISSN:
1366-5901
Subject:
algorithms; canopy height; data collection; deciduous forests; forest inventory; forest stands; lidar; models; plantations; remote sensing; temperate forests; tree height; trees; watersheds
Abstract:
... Delineation of individual deciduous trees with Light Detection and Ranging (LiDAR) data has long been sought for accurate forest inventory in temperate forests. Previous attempts mainly focused on high-density LiDAR data to obtain reliable delineation results, which may have limited applications due to the high cost and low availability of such data. Here, the feasibility of individual deciduous t ...
DOI:
10.1080/01431161.2018.1513664
CHORUS:
10.1080/01431161.2018.1513664

4. Is high spatial resolution DEM data necessary for mapping palustrine wetlands?

Author:
Maxwell, Aaron E.; Warner, Timothy A.
Source:
International journal of remote sensing 2019 v.40 no.1 pp. 118-137
ISSN:
1366-5901
Subject:
algorithms; automation; data collection; digital elevation models; inventories; landscapes; lidar; photogrammetry; prediction; probability; remote sensing; wetlands; United States
Abstract:
... Digital elevation models (DEMs) have been found to be an effective data source for automated mapping of wetlands. However, it is unclear whether high spatial resolution DEMs, which tend to be more expensive to acquire and process, are necessary for mapping wetlands such as those in the US National Wetland Inventory (NWI). Therefore, we compared predictions of the probability of palustrine wetland ...
DOI:
10.1080/01431161.2018.1506184

5. On-board radiometric calibration for thermal emission band of FY-3C/MERSI

Author:
Liu, Q. S.; Tang, Y. H.; Qin, L.; Dai, H. S.; Zhao, Q. C.; Yang, Y.
Source:
International journal of remote sensing 2019 v.40 no.1 pp. 1-14
ISSN:
1366-5901
Subject:
algorithms; calibration; radiometry; remote sensing; satellites; temperature
Abstract:
... On-board radiometric calibration is the most efficient method to improve the measurement accuracy of satellite-borne sensors. Chinese Medium Resolution Spectral Imager (MERSI), loaded on the Fengyun-3C (FY-3C) satellite, uses one satellite-borne fixed-temperature blackbody (BB) for its thermal emission band’s (TEB) radiometric calibration, but its optimal calibration algorithm is not determined. B ...
DOI:
10.1080/01431161.2017.1339929

6. Regional-scale rice-yield estimation using stacked auto-encoder with climatic and MODIS data: a case study of South Korea

Author:
Ma, Jong-Won; Nguyen, Cong-Hieu; Lee, Kyungdo; Heo, Joon
Source:
International journal of remote sensing 2019 v.40 no.1 pp. 51-71
ISSN:
1366-5901
Subject:
algorithms; case studies; food security; moderate resolution imaging spectroradiometer; neural networks; remote sensing; rice; sustainable agriculture; South Korea
Abstract:
... In South Korea, rice is the most important grain crop that it is crucial to develop yield estimation model for supporting sustainable agriculture and national food security. The main objectives of this paper are (1) to propose a Deep Learning (DL) algorithm, the Stacked Sparse Auto-encoder (SSAE), for rice-yield estimation using climatic and Moderate Resolution Imaging Spectroradiometer (MODIS) da ...
DOI:
10.1080/01431161.2018.1488291

7. Soil salinity mapping using dual-polarized SAR Sentinel-1 imagery

Author:
Taghadosi, Mohammad Mahdi; Hasanlou, Mahdi; Eftekhari, Kamran
Source:
International journal of remote sensing 2019 v.40 no.1 pp. 237-252
ISSN:
1366-5901
Subject:
agricultural land; algorithms; electrical conductivity; land management; monitoring; remote sensing; saline soils; salinity; soil productivity; soil salinity; soil sampling; statistics; synthetic aperture radar; texture; theoretical models
Abstract:
... Soil salinity is a major environmental threat, which has a negative impact on soil productivity and agricultural fields. One of the most promising methods for monitoring affected areas, which has special importance in land management studies, is through remote sensing technologies. While the potential of optical imagery in detecting saline soils is widely investigated, limited studies have been de ...
DOI:
10.1080/01431161.2018.1512767

8. Superpixel segmentation for hyperspectral images based on false colour composition with colour histogram driving

Author:
Lin, Lianlei; Yang, Jingli; Zhou, Zhuxu
Source:
International journal of remote sensing 2019 v.40 no.1 pp. 307-331
ISSN:
1366-5901
Subject:
algorithms; color; data collection; hills; hyperspectral imagery; remote sensing; system optimization
Abstract:
... Hyperspectral images (HSIs) segmentation has gradually become an important basis for HSIs processing, such as the classification and unmixing. In this paper, we proposed a superpixel segmentation algorithm based on principal component (PC) weighted false colour composition (FCC) with colour histogram driving (FCC-CHD). First, the dimensionality of HSIs is reduced by using FCC algorithm based on we ...
DOI:
10.1080/01431161.2018.1513181

9. A time-series analysis of urbanization-induced impervious surface area extent in the Dianchi Lake watershed from 1988–2017

Author:
Yang, Kun; Pan, Meie; Luo, Yi; Chen, Kexin; Zhao, Yisong; Zhou, Xiaolu
Source:
International journal of remote sensing 2019 v.40 no.2 pp. 573-592
ISSN:
1366-5901
Subject:
Landsat; United States Geological Survey; algorithms; biodiversity; case studies; cities; ecosystems; hydrologic cycle; lakes; remote sensing; surface area; time series analysis; urbanization; water management; watersheds
Abstract:
... Chinese urbanization has drawn widespread attention since the 21st century. Understanding urban expansion at a watershed scale including cities of different sizes is important for improving our current knowledge of the urban extent and its impact on the hydrological cycle, water management, surface energy balances, and biodiversity. Impervious surface area (ISA) can be used as a synthesized quanti ...
DOI:
10.1080/01431161.2018.1516312

10. Characterizing multi-decadal, annual land cover change dynamics in Houston, TX based on automated classification of Landsat imagery

Author:
Hakkenberg, C.R.; Dannenberg, M.P.; Song, C.; Ensor, K.B.
Source:
International journal of remote sensing 2019 v.40 no.2 pp. 693-718
ISSN:
1366-5901
Subject:
Landsat; algorithms; automation; hurricanes; land cover; periodicity; remote sensing; socioeconomics; time series analysis; urbanization; wetlands; Texas
Abstract:
... In 2017, Hurricane Harvey caused substantial loss of life and property in the swiftly urbanizing region of Houston, TX. Now in its wake, researchers are tasked with investigating how to plan for and mitigate the impact of similar events in the future, despite expectations of increased storm intensity and frequency as well as accelerating urbanization trends. Critical to this task is the developmen ...
DOI:
10.1080/01431161.2018.1516318

11. Detecting dark spots from SAR intensity images by a point process with irregular geometry marks

Author:
Zhao, Quanhua; Zhang, Hongyun; Li, Yu
Source:
International journal of remote sensing 2019 v.40 no.2 pp. 774-793
ISSN:
1366-5901
Subject:
Bayesian theory; Markov chain; algorithms; geometry; remote sensing; synthetic aperture radar
Abstract:
... Aiming at the difficulties to determine the geometric shape of dark spots, this paper proposes an Irregular Geometry Marked Point Process (IGMPP) to detect dark spots from Synthetic Aperture Radar (SAR) images. Firstly, a series of random points used to define the locations of dark spots in the SAR image domain, and an irregular polygon mark associated with each random point indicates the shape of ...
DOI:
10.1080/01431161.2018.1519278

12. Estimating crown diameters in urban forests with Unmanned Aerial System-based photogrammetric point clouds

Author:
Yilmaz, Volkan; Güngör, Oguz
Source:
International journal of remote sensing 2019 v.40 no.2 pp. 468-505
ISSN:
1366-5901
Subject:
algorithms; cost effectiveness; data collection; forest management; information sources; photogrammetry; remote sensing; stand characteristics; trees; urban forests; watersheds
Abstract:
... Field measurements are the main source of information when determining stand parameters, which are essential to produce an effective forest management plan. However, conducting terrestrial measurements is neither time- nor cost-efficient in most cases. In recent years, the advent of sophisticated remote sensing technologies has enabled the extraction of accurate and robust information about the ph ...
DOI:
10.1080/01431161.2018.1562255

13. Incorporating global-local a Priori knowledge into expectation-maximization for SAR image change detection

Author:
Jia, Meng; Zhao, ZhiQiang; Huo, Lina; Chen, Hao; Qiu, Yuan
Source:
International journal of remote sensing 2019 v.40 no.2 pp. 734-758
ISSN:
1366-5901
Subject:
algorithms; data collection; models; remote sensing; synthetic aperture radar
Abstract:
... Speckle is one of the inevitable obstacles related to synthetic aperture radar (SAR) image change detection; it increases the overlap between changed and unchanged pixels in the histogram of a difference image. This makes the selection of a statistic model more difficult for describing opposite classes. To address this issue, this article developed an unsupervised change-detection approach for mul ...
DOI:
10.1080/01431161.2018.1519276

14. Range-Doppler Spectrum Estimation via Sparse variational Bayesian approach

Author:
Shen, Fangfang; Chen, Xuyang; Liu, Yanming; Zhao, Guanghui; Li, Xiaoping
Source:
International journal of remote sensing 2019 v.40 no.2 pp. 794-809
ISSN:
1366-5901
Subject:
Bayesian theory; algorithms; probabilistic models; remote sensing; signal-to-noise ratio
Abstract:
... In this paper, the structural sparsity of the range profile and the range-Doppler (RD) image is utilised and an effective sparse variational Bayesian approach with modified automatic relevance determination (ARD) is proposed for the RD spectrum estimation. Specifically, a probabilistic model is derived where hierarchical sparse promoting prior is imposed over the scatter coefficients. Since the re ...
DOI:
10.1080/01431161.2018.1519279

15. Very high resolution remote sensing image classification with SEEDS-CNN and scale effect analysis for superpixel CNN classification

Author:
Lv, Xianwei; Ming, Dongping; Chen, YangYang; Wang, Min
Source:
International journal of remote sensing 2019 v.40 no.2 pp. 506-531
ISSN:
1366-5901
Subject:
algorithms; data collection; image analysis; processing time; remote sensing; seeds; texture
Abstract:
... Pixel-based convolutional neural network (CNN) has demonstrated good performance in the classification of very high resolution images (VHRI) from which abstract deep features are extracted. However, conventional pixel-based CNN demands large resources in terms of processing time and disk space. Therefore, superpixel CNN classification has recently become a focus of attention. We therefore propose ...
DOI:
10.1080/01431161.2018.1513666

16. A contextual-based segmentation of compact PolSAR images using Markov Random Field (MRF) model

Author:
Nazarinezhad, Jamil; Dehghani, Maryam
Source:
International journal of remote sensing 2019 v.40 no.3 pp. 985-1010
ISSN:
1366-5901
Subject:
algorithms; energy; image analysis; polarimetry; preserves; probabilistic models; probability distribution; remote sensing; spatial data; synthetic aperture radar
Abstract:
... As the first major step in each object-oriented feature extraction approach, segmentation plays an essential role as a preliminary step towards further and higher levels of image processing. The primary objective of this paper is to illustrate the potential of Polarimetric Synthetic Aperture Radar (PolSAR) features extracted from Compact Polarimetry (CP) SAR data for image segmentation using Marko ...
DOI:
10.1080/01431161.2018.1523584

17. An improved approach for generating globally consistent seamline networks for aerial image mosaicking

Author:
He, Jianan; Sun, Mingwei; Chen, Qi; Zhang, Zuxun
Source:
International journal of remote sensing 2019 v.40 no.3 pp. 859-882
ISSN:
1366-5901
Subject:
algorithms; orthophotography; photogrammetry; remote sensing; standard deviation; texture
Abstract:
... Seamless image mosaicking is a crucial technique in the production of orthophotos in photogrammetry and remote sensing. There are many studies focused on generating high-quality ortho-mosaics and many algorithms have been put forward for this purpose. Some of the existing methods concentrate on guiding the seamline to bypass ground objects, while others focus on generating a seamline network with ...
DOI:
10.1080/01431161.2018.1519282

18. Ascent and descent rates of high-flying insect migrants determined with a non-coherent vertical-beam entomological radar

Author:
Drake, V. Alistair; Wang, Haikou
Source:
International journal of remote sensing 2019 v.40 no.3 pp. 883-904
ISSN:
1366-5901
Subject:
algorithms; altitude; case studies; flight; insects; monitoring; radar; remote sensing
Abstract:
... Vertical-beam radars employing non-coherent transmission and reception provide an effective means of detecting insects migrating at heights of hundreds of metres. Current units can determine the insects’ horizontal velocities, orientations, and some characteristics indicative of the targets’ identities; however, they are not able to detect the vertical component of the targets’ motion. It has gene ...
DOI:
10.1080/01431161.2018.1519283

19. Change detection in SAR images based on matrix factorisation and a Bayes classifier

Author:
Ma, Wenping; Wu, Yue; Gong, Maoguo; Xiong, Yunta; Yang, Hui; Hu, Tianyu
Source:
International journal of remote sensing 2019 v.40 no.3 pp. 1066-1091
ISSN:
1366-5901
Subject:
algorithms; data collection; image analysis; models; remote sensing; synthetic aperture radar; variance
Abstract:
... Change detection in synthetic aperture radar (SAR) images can be made as a matrix factorisation model, and it can detect the changes based on the foreground information in the image. However, these methods cannot obtain satisfactory results in the change detection of SAR images because reliable background data are often not available. In this article, we propose a matrix factorisation model based ...
DOI:
10.1080/01431161.2018.1524172

20. Improving satellite-based modelling of gross primary production in deciduous broadleaf forests by accounting for seasonality in light use efficiency

Author:
Zhou, Xuewen; Xin, Qinchuan
Source:
International journal of remote sensing 2019 v.40 no.3 pp. 931-955
ISSN:
1366-5901
Subject:
algorithms; canopy; carbon; deciduous forests; gross primary productivity; growing season; leaf area index; models; phenology; photosynthesis; radiation use efficiency; remote sensing; satellites; spatial data; time series analysis; variance; United States
Abstract:
... Vegetation gross primary production (GPP), the photosynthetic yields by green plants per unit area per unit time, is a key metric of carbon flux in understanding the land–atmosphere interactions and terrestrial carbon cycles. Satellite-based light use efficiency (LUE) models are valuable methods to retrieve large-scale terrestrial GPP using remote sensing data. As studies have reported that maximu ...
DOI:
10.1080/01431161.2018.1519285