Automatic remotely sensed image classification in a grid environment based on the maximum likelihood method

Jiabo, Sun; Yang, Jianyu; Zhang, Chao; Wang, Yun; Qu, Jieqing

doi:10.1016/j.mcm.2011.10.063

Cited by 88 publications

(55 citation statements)

References 11 publications

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“…In the study of Rozenstein and Karnieli (2010), overall accuracy and kappa coefficient were 70.67 % and 0.65 for ISODATA, 60.53 % and 0.53 for maximum likelihood, 73.50 and 0.68 for synthetic method. Overall accuracy and kappa coefficient in the study of Sun et al (2011) were 84.89 % and 0.82 for maximum likelihood model. Huang et al (2010) obtained 85 % and 0.76 for overall accuracy and kappa coefficient.…”

Section: Resultsmentioning

confidence: 90%

A comparison of supervised, unsupervised and synthetic land use classification methods in the north of Iran

Mohammady

Moradi

Zeinivand

et al. 2014

Int. J. Environ. Sci. Technol.

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Land use classification is often the first step in land use studies and thus forms the basis for many earth science studies. In this paper, we focus on low-cost techniques for combining Landsat images with geographic information system approaches to create a land use map. In the Golestan region of Iran, we show that traditional supervised and unsupervised methods do not result in sufficiently accurate land use maps. Therefore, we evaluated a synthetic approach combining supervised and unsupervised methods with decision rules based on easily accessible ancillary data. For accuracy assessment, confusion matrices and kappa coefficients were calculated for the maps created with the supervised, unsupervised and synthetic approaches. Overall accuracy of the synthetic approach was 98.2 %, which is over the 85 % level that is considered satisfactory for planning and management purposes. This shows that integration of remote sensing data, ancillary data and decision rules provides better classification accuracy than traditional methods, without significant additional use of resources.

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Section: Resultsmentioning

confidence: 90%

A comparison of supervised, unsupervised and synthetic land use classification methods in the north of Iran

Mohammady

Moradi

Zeinivand

et al. 2014

Int. J. Environ. Sci. Technol.

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“…The schematic representation of the modified method used to process the remote sensing images is depicted in Figure 2. [14] is a method for determining a known class of distributions as the maximum for a given statistic. An assumption of normality is made for the training samples.…”

Section: Methodsmentioning

confidence: 99%

“…According to Bayesian formula, the posterior probability of category k, P(Gk/x) is defined as: Maximum likelihood Supervised classification was used to analyze land classification. Maximum likelihood classification (MLC) [14] is a method for determining a known class of distributions as the maximum for a given statistic. An assumption of normality is made for the training samples.…”

Section: Methodsmentioning

confidence: 99%

Using Modified Remote Sensing Imagery to Interpret Changes in Cultivated Land under Saline-Alkali Conditions

et al. 2016

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Abstract:Managing the rapidly changing saline-alkali land under cultivation in the coastal areas of China is important not only for mitigating the negative impacts of such land on the environment, but also for ensuring long-term sustainability of agriculture. In this light, setting up rapid monitoring systems to assist decision-making in developing sustainable management plans is therefore an absolute necessity. In this study, we developed a new interpretation system where symbols are used to grade and classify saline-alkali lands in space and time, based on the characteristics of plant cover and features of remote sensing images. The system was used in combination with the maximum likelihood supervised classification to analyze the changes in cultivated lands under saline-alkali conditions in Huanghua City. The analysis revealed changes in the area and spatial distribution of cultivated under saline-alkali conditions in the region. The total area of saline-alkali land was 139,588.8 ha in 1992 and 134,477.5 ha in 2011. Compared with 1992, severely and moderately saline-alkali land areas decreased in 2011. However, non/slightly saline land areas increased over that in 1992. The results showed that the salinization rate of arable lands in Huanghua City decreased from 1992 to 2011. The moderately saline-alkali land southeast of the city transformed into non/slightly saline-alkaline. Then, severely saline-alkali land far from the coastal zone west of the city became moderately saline-alkaline. Spatial changes in cultivated saline-alkali lands in Huanghua City were such that the centers of gravity (CG) of severely and non/slightly saline-alkali land moved closer the coastline, while that of the moderately saline-alkali land moved from southwest coastal line to northwest. Factors influencing changes in cultivated lands in the saline-alkali ecosystem included climate, hydrology and human activity. Thus, studies are required to further explore these factors in order to build a better understanding into the relative contributions of the changes saline-alkali state on the functions of coastline ecosystems.

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“…In this study, a supervised classification based on the maximum likelihood classification (MLC) method was employed to classify the individual images independently. MLC is the most common type of supervised classification and has been widely used in the literature [24,[29][30][31][32]. This method has considered not only the mean or average values in assigning classification, but also the variability of brightness values in each class [33].…”

Section: Lclu Classification Methodsmentioning

confidence: 99%

Assessment of Land-Cover/Land-Use Change and Landscape Patterns in the Two National Nature Reserves of Ebinur Lake Watershed, Xinjiang, China

2017

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Abstract:Land-cover and land-use change (LCLUC) alters landscape patterns and affects regional ecosystems. The objective of this study was to examine LCLUC and landscape patterns in Ebinur Lake Wetland National Nature Reserve (ELWNNR) and Ganjia Lake Haloxylon Forest National Nature Reserve (GLHFNNR), two biodiversity-rich national nature reserves in the Ebinur Lake Watershed (ELW), Xinjiang, China. Landsat satellite images from 1972, 1998, 2007 and 2013 were used to calculate the dynamics of a land-cover and land-use (LCLU) transition matrix and landscape pattern index using ENVI 5.1 and FRAGSTATS 3.3. The results showed drastic land use modifications have occurred in ELWNNR during the past four decades. Between 1972Between and 1998Between , 1998Between and 2007Between , and 2007Between and 2013.50 km 2 (7.93%), 122.70 km 2 (3.87%), and 195.40 km 2 (6.16%) of wetland were turned into salinized land. In GLHFNNR both low and medium density Haloxylon forest area declined while high density Haloxylon forest area increased. This contribution presents a method for characterizing LCLUC using one or more cross-tabulation matrices based on Sankey diagrams, demonstrating the depiction of flows of energy or materials through ecosystem network. The ecological landscape index displayed that a unique landscape patches have shrunk in size, scattered, and fragmented. It becomes a more diverse landscape. Human activities like farming were negatively correlated with the landscape diversity of wetlands. Furthermore, evidence of degraded wetlands caused by air temperature and annual precipitation, was also observed. We conclude that national and regional policies related to agriculture and water use have significantly contributed to the extensive changes; the ELWNNR and GLHFNNR are highly susceptible to LCLUC in the surrounding Ebinur Lake Watershed.

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Automatic remotely sensed image classification in a grid environment based on the maximum likelihood method

Cited by 88 publications

References 11 publications

A comparison of supervised, unsupervised and synthetic land use classification methods in the north of Iran

A comparison of supervised, unsupervised and synthetic land use classification methods in the north of Iran

Using Modified Remote Sensing Imagery to Interpret Changes in Cultivated Land under Saline-Alkali Conditions

Assessment of Land-Cover/Land-Use Change and Landscape Patterns in the Two National Nature Reserves of Ebinur Lake Watershed, Xinjiang, China

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