1、

A Study of Accuracy Control of Land Cover Classification Based on MLH Algorithm

基于最大似然分类算法的土地覆盖分类精度控制研究

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2、

Land cover classification is the basis of surveying, planning and dynamic monitoring land resource, and is the effective means of studying environment effect, ecosystem security and global changing, therefore it has the important signality.

进行土地覆盖分类是进行国土资源调查、规划及动态监测的基础,也是研究其环境效应、生态安全及其对全球变化影响的有效手段,意义十分重大。

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4、

Classification Methods of Land Use/ Cover Based on Remote Sensing Technology

遥感影像土地利用/覆盖分类方法研究综述

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5、

According to a classification experiment on the rugged terrain over the upstream of Hanjiang River Basin where the land use/ cover ground survey data are available, the proposed approach is far superior to the traditional maximum likelihood classification method.

与传统的最大似然法分类结果相比,该方法极大地改善了山区地表覆被分类的精度,得到试验区较为可靠的遥感分类图像。

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6、

Comparison and Analysis on Land Cover Remote Sensing Monitoring and typical Classification System

土地覆盖遥感监测及分类系统实例评析

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7、

This paper presents the remote sensing image land cover/ use classification method, based on rule-reasoning method using gray information, wavelet-based texture feature, vegetation index and shape information.

提出一种利用地类的色度信息、小波提取纹理特征、植被指数及形状知识等采用规则推理有效识别遥感土地类别的方法。

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8、

The WVS ( Water, Vegetation and Soil) classification and its utilization in the land cover mapping at the regional scale are discussed.

WVS分类(Water,VegetationandSoilClassification)及地面覆被分类图的编制,为区域性生态环境研究提供了重要的基础资料。

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9、

Classification of Land Cover Based on Fused Image of TM with IRS

基于TM与IRS融合图像对土地覆盖进行分类

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