Mapping of Freshwater Lake Wetlands Using Object-Relations and Rule-based Inference

RUAN Renzong; Susan USTIN

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Mapping of Freshwater Lake Wetlands Using Object-Relations and Rule-based Inference

RUAN Renzong, Susan USTIN

文章导航 > Chinese Geographical Science > 2012 > 22(4): 462-471

RUAN Renzong, Susan USTIN. Mapping of Freshwater Lake Wetlands Using Object-Relations and Rule-based Inference[J]. 中国地理科学, 2012, 22(4): 462-471.

引用本文:

RUAN Renzong, Susan USTIN. Mapping of Freshwater Lake Wetlands Using Object-Relations and Rule-based Inference[J]. 中国地理科学, 2012, 22(4): 462-471.

RUAN Renzong, Susan USTIN. Mapping of Freshwater Lake Wetlands Using Object-Relations and Rule-based Inference[J]. Chinese Geographical Science, 2012, 22(4): 462-471.

Citation:

RUAN Renzong, Susan USTIN. Mapping of Freshwater Lake Wetlands Using Object-Relations and Rule-based Inference[J]. Chinese Geographical Science, 2012, 22(4): 462-471.

Mapping of Freshwater Lake Wetlands Using Object-Relations and Rule-based Inference

(1. State Key Laboratory of Hydrology-Water Resources and Hydraulic Engineering, Hohai University, Nanjing 210098, China;
2.
Department of Land, Air, and Water Resources, University of California, Davis, CA 95616, the United States)

Mapping of Freshwater Lake Wetlands Using Object-Relations and Rule-based Inference

(1. State Key Laboratory of Hydrology-Water Resources and Hydraulic Engineering, Hohai University, Nanjing 210098, China;
2.
Department of Land, Air, and Water Resources, University of California, Davis, CA 95616, the United States)

摘要: Inland freshwater lake wetlands play an important role in regional ecological balance. Hongze Lake is the fourth biggest
freshwater lake in China. In the past three decades, there has been significant loss of freshwater wetlands within the lake and at the
mouths of neighboring rivers, due to disturbance, primarily from human activities. The main purpose of this paper was to explore a
practical technology for differentiating wetlands effectively from upland types in close proximity to them. In the paper, an integrated
method, which combined per-pixel and per-field classification, was used for mapping wetlands of Hongze Lake and their neighboring
upland types. Firstly, Landsat ETM+ imagery was segmented and classified by using spectral and textural features. Secondly, ETM+
spectral bands, textural features derived from ETM+ Pan imagery, relative relations between neighboring classes, shape features, and
elevation were used in a decision tree classification. Thirdly, per-pixel classification results from the decision tree classifier were improved
by using classification results from object-oriented classification as a context. The results show that the technology has not only
overcome the salt-and-pepper effect commonly observed in the past studies, but also has improved the accuracy of identification by
nearly 5%.
- rule-based inferring /
- object-based classification /
- freshwater lake wetland /
- relation feature /
- Hongze Lake
Abstract: Inland freshwater lake wetlands play an important role in regional ecological balance. Hongze Lake is the fourth biggest
freshwater lake in China. In the past three decades, there has been significant loss of freshwater wetlands within the lake and at the
mouths of neighboring rivers, due to disturbance, primarily from human activities. The main purpose of this paper was to explore a
practical technology for differentiating wetlands effectively from upland types in close proximity to them. In the paper, an integrated
method, which combined per-pixel and per-field classification, was used for mapping wetlands of Hongze Lake and their neighboring
upland types. Firstly, Landsat ETM+ imagery was segmented and classified by using spectral and textural features. Secondly, ETM+
spectral bands, textural features derived from ETM+ Pan imagery, relative relations between neighboring classes, shape features, and
elevation were used in a decision tree classification. Thirdly, per-pixel classification results from the decision tree classifier were improved
by using classification results from object-oriented classification as a context. The results show that the technology has not only
overcome the salt-and-pepper effect commonly observed in the past studies, but also has improved the accuracy of identification by
nearly 5%.
- rule-based inferring /
- object-based classification /
- freshwater lake wetland /
- relation feature /
- Hongze Lake

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Mapping of Freshwater Lake Wetlands Using Object-Relations and Rule-based Inference

(1. State Key Laboratory of Hydrology-Water Resources and Hydraulic Engineering, Hohai University, Nanjing 210098, China;

2. Department of Land, Air, and Water Resources, University of California, Davis, CA 95616, the United States)

刊出日期: 2012-07-05

关键词:

rule-based inferring /

object-based classification /

freshwater lake wetland /

relation feature /

Hongze Lake

摘要: Inland freshwater lake wetlands play an important role in regional ecological balance. Hongze Lake is the fourth biggest
freshwater lake in China. In the past three decades, there has been significant loss of freshwater wetlands within the lake and at the
mouths of neighboring rivers, due to disturbance, primarily from human activities. The main purpose of this paper was to explore a
practical technology for differentiating wetlands effectively from upland types in close proximity to them. In the paper, an integrated
method, which combined per-pixel and per-field classification, was used for mapping wetlands of Hongze Lake and their neighboring
upland types. Firstly, Landsat ETM+ imagery was segmented and classified by using spectral and textural features. Secondly, ETM+
spectral bands, textural features derived from ETM+ Pan imagery, relative relations between neighboring classes, shape features, and
elevation were used in a decision tree classification. Thirdly, per-pixel classification results from the decision tree classifier were improved
by using classification results from object-oriented classification as a context. The results show that the technology has not only
overcome the salt-and-pepper effect commonly observed in the past studies, but also has improved the accuracy of identification by
nearly 5%.

English Abstract

Mapping of Freshwater Lake Wetlands Using Object-Relations and Rule-based Inference

(1. State Key Laboratory of Hydrology-Water Resources and Hydraulic Engineering, Hohai University, Nanjing 210098, China;

2. Department of Land, Air, and Water Resources, University of California, Davis, CA 95616, the United States)

Publish Date: 2012-07-05

Keywords:

Abstract: Inland freshwater lake wetlands play an important role in regional ecological balance. Hongze Lake is the fourth biggest
freshwater lake in China. In the past three decades, there has been significant loss of freshwater wetlands within the lake and at the
mouths of neighboring rivers, due to disturbance, primarily from human activities. The main purpose of this paper was to explore a
practical technology for differentiating wetlands effectively from upland types in close proximity to them. In the paper, an integrated
method, which combined per-pixel and per-field classification, was used for mapping wetlands of Hongze Lake and their neighboring
upland types. Firstly, Landsat ETM+ imagery was segmented and classified by using spectral and textural features. Secondly, ETM+
spectral bands, textural features derived from ETM+ Pan imagery, relative relations between neighboring classes, shape features, and
elevation were used in a decision tree classification. Thirdly, per-pixel classification results from the decision tree classifier were improved
by using classification results from object-oriented classification as a context. The results show that the technology has not only
overcome the salt-and-pepper effect commonly observed in the past studies, but also has improved the accuracy of identification by
nearly 5%.

RUAN Renzong, Susan USTIN. Mapping of Freshwater Lake Wetlands Using Object-Relations and Rule-based Inference[J]. 中国地理科学, 2012, 22(4): 462-471.

引用本文:

RUAN Renzong, Susan USTIN. Mapping of Freshwater Lake Wetlands Using Object-Relations and Rule-based Inference[J]. 中国地理科学, 2012, 22(4): 462-471.

RUAN Renzong, Susan USTIN. Mapping of Freshwater Lake Wetlands Using Object-Relations and Rule-based Inference[J]. Chinese Geographical Science, 2012, 22(4): 462-471.

Citation:

RUAN Renzong, Susan USTIN. Mapping of Freshwater Lake Wetlands Using Object-Relations and Rule-based Inference[J]. Chinese Geographical Science, 2012, 22(4): 462-471.

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Mapping of Freshwater Lake Wetlands Using Object-Relations and Rule-based Inference

Mapping of Freshwater Lake Wetlands Using Object-Relations and Rule-based Inference

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出版历程

Mapping of Freshwater Lake Wetlands Using Object-Relations and Rule-based Inference

(1. State Key Laboratory of Hydrology-Water Resources and Hydraulic Engineering, Hohai University, Nanjing 210098, China; 2. Department of Land, Air, and Water Resources, University of California, Davis, CA 95616, the United States)

English Abstract

Mapping of Freshwater Lake Wetlands Using Object-Relations and Rule-based Inference

(1. State Key Laboratory of Hydrology-Water Resources and Hydraulic Engineering, Hohai University, Nanjing 210098, China; 2. Department of Land, Air, and Water Resources, University of California, Davis, CA 95616, the United States)

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目录

(1. State Key Laboratory of Hydrology-Water Resources and Hydraulic Engineering, Hohai University, Nanjing 210098, China;

2. Department of Land, Air, and Water Resources, University of California, Davis, CA 95616, the United States)

(1. State Key Laboratory of Hydrology-Water Resources and Hydraulic Engineering, Hohai University, Nanjing 210098, China;

2. Department of Land, Air, and Water Resources, University of California, Davis, CA 95616, the United States)