Texture modelling for land cover classification of fully polarimetric SAR images

Kourgli, Assia; Ouarzeddine, Mounira; Oukil, Youcef; Belhadj-Aissa, Aichouche

doi:10.1080/19479832.2010.551521

Cited by 12 publications

(9 citation statements)

References 44 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Taking an example in French temperate pine plantation, Champion et al [2008] showed that fully-polarimetric data combined with texture delivered significant detection of stand age. For mapping purpose, coupled backscatter-texture dataset was examined in land cover classification [Kourgli et al, 2012]. Figure. 5 presents the degree of accuracy improvement based on single, dual and full polarization using RF and SVM default parameters used by OTB.…”

Section: The Role Of Texturementioning

confidence: 99%

Mapping stand age of rubber plantation using ALOS-2 polarimetric SAR data

Trisasongko

2017

European Journal of Remote Sensing

View full text Add to dashboard Cite

This paper presents an evaluation on strategies for rubber plantation mapping employing SAR data coupled with Random Forest (RF) and Support Vector Machine (SVM). Linear backscatter coefficients achieved saturation point at about 10 years, making this form of polarimetric data being robust only for young to mature stands. This research found that the performance of both algorithms was comparable. The addition of texture features gave substantial impact to the overall accuracy. As indicated by the analysis of variable importance, only some texture features have contributed to higher overall accuracy. Classification using a subset of texture features pointed out that accuracy could be improved using dual polarimetric data, while trivial enhancement was seen in combined HH, HV and VV backscatter intensities. The research showed that classification accuracy could be further augmented by setting proper classification parameters. Nonetheless, it is argued that the level of improvement would greatly depend on selecting a proper dataset fed into classifier, rather than tuning classifier parameters. ARTICLE HISTORY

show abstract

Section: The Role Of Texturementioning

confidence: 99%

Mapping stand age of rubber plantation using ALOS-2 polarimetric SAR data

Trisasongko

2017

European Journal of Remote Sensing

View full text Add to dashboard Cite

show abstract

“…The saturation points of plant height and fresh biomass of Carex spp. are much lower than those of Phragmites communis as shown in previous section and other observed results [12,15,18,36]. The complicated backscattering mechanism from this wetland community needs be quantitatively interpreted by building physically based model.…”

Section: The Relationships Between Radar Backscatter and Vegetation Bmentioning

confidence: 99%

“…The launch of the SeaSAT Synthetic Aperture Radar (SAR) in 1978 initiated the technology of active microwave radar for wetland studies [7]. Multi-band and full polarimetric Shuttle Imaging Radar-C (SIR-C) proved to be useful in detecting seasonal inundation extents, flooding cycles, and the changes in water level, as well as mapping different wetland species [8][9][10][11][12][13][14]. SAR data from single frequency radar (JERS-1 and RADARSAT) were successfully used for monitoring and mapping wetlands in the Amazon floodplain and in Florida, USA [15][16][17][18][19].…”

Section: Introductionmentioning

confidence: 99%

Multi-Polarization ASAR Backscattering from Herbaceous Wetlands in Poyang Lake Region, China

et al. 2014

View full text Add to dashboard Cite

Wetlands are one of the most important ecosystems on Earth. There is an urgent need to quantify the biophysical parameters (e.g., plant height, aboveground biomass) and map total remaining areas of wetlands in order to evaluate the ecological status of wetlands. In this study, Environmental Satellite/Advanced Synthetic Aperture Radar (ENVISAT/ASAR) dual-polarization C-band data acquired in 2005 is tested to investigate radar backscattering mechanisms with the variation of hydrological conditions during the growing cycle of two types of herbaceous wetland species, which colonize lake borders with different elevation in Poyang Lake region, China. Phragmites communis (L.) Trin. is semi-aquatic emergent vegetation with vertical stem and blade-like leaves, and the emergent Carex spp. has rhizome and long leaves. In this study, the potential of ASAR data in HH-, HV-, and VV-polarization in mapping different wetland types is examined, by observing their dynamic variations throughout the whole flooding cycle. The sensitivity of ASAR backscattering coefficients to vegetation parameters of plant height, fresh and dry biomass, and vegetation water content is also analyzed for Phragmites communis (L.) Trin. and Carex spp. The research for Phragmites communis (L.) Trin. shows that HH polarization is more sensitive to plant height and dry biomass than HV polarization. ASAR backscattering coefficients are relatively less sensitive to fresh biomass, especially in HV polarization. However, both are highly dependent on canopy water content. In contrast, the dependence of HH-and HV-backscattering from Carex community on vegetation parameters is poor, and the radar backscattering mechanism is controlled by ground water level.

show abstract

“…Generally speaking, fundamental monitoring refers to topography, land cover (vegetation coverage, water and wetland areas, glaciers and permanent snow, desert and bare land, traffic networks, residential sites and facilities), and geographical boundaries. Land-cover composition and changes are important in many areas of scientific research and socioeconomic assessments and are the principal data-sets for calculations related to many types of resources and indicators of environmental conditions (Xian et al 2009;Aspinall and Pearson 2000;Perera and Tsuchiya 2009;Kandrika and Ravisankar 2011;Kourgli et al 2012).…”

Section: Fundamental Monitoringmentioning

confidence: 99%

Understanding geographical conditions monitoring: a perspective from China

Zhang

Zhai

2013

International Journal of Digital Earth

View full text Add to dashboard Cite

Marginality and marginalisation have been researched extensively, especially during the 1960s and 1970s within the context of rapid urbanization in Latin America, mostly to try to find out who is marginal and who is not. But most researchers stumbled on the complexity of the phenomenon of marginality. Drawn from a geographical perspective, this note brings together research results presented in 2010, and coming from up-to-date fieldwork research in various regional contexts. Trying to find out common denominators, it highlights the importance of scale and perspective in considering marginality, as well as changes in power relations, the very basis of the marginalisation process. Razumijevanje marginalnosti: suvremeni pogledi iz geografske perspektive Koncepte marginalnosti i marginalizacije uvelike se istraživalo posebice 60-ih i 70-ih godina 20. stoljeća u kontekstu nagle urbanizacije u Latinskoj Americi, ponajviše kako bi se otkrilo tko je marginalan, a tko nije. No većina istraživača pritom je nabasala na problematiku kompleksnosti fenomena marginalnosti. Polazeći od geografske perspektive, ovaj rad objedinjuje istraživanja iz 2010. te suvremena terenska istraživanja više različitih regionalnih konteksta. U pokušaju svođenja problematike na zajednički nazivnik u radu se naglašava važnost razine i perspektive u proučavanju marginalnosti te posebice promjenâ u odnosima moći, koje su ključne u procesu marginalizacije.

show abstract

Texture modelling for land cover classification of fully polarimetric SAR images

Cited by 12 publications

References 44 publications

Mapping stand age of rubber plantation using ALOS-2 polarimetric SAR data

Mapping stand age of rubber plantation using ALOS-2 polarimetric SAR data

Multi-Polarization ASAR Backscattering from Herbaceous Wetlands in Poyang Lake Region, China

Understanding geographical conditions monitoring: a perspective from China

Contact Info

Product

Resources

About