Land cover data from Landsat single-date imagery: an approach integrating pixel-based and object-based classifiers

被引：20

作者：

Ceccarelli, Tommaso ^{[1
]}

Smiraglia, Daniela ^{[1
]}

Bajocco, Sofia ^{[1
]}

Rinaldo, Simone ^{[1
]}

De Angelis, Antonella ^{[1
]}

Salvati, Luca ^{[2
]}

Perini, Luigi ^{[1
]}

机构：

[1] Consiglio Ric & Sperimentaz Agr, Unit Climatol & Meteorol Appl Agr CRA CMA, I-00186 Rome, Italy

[2] Consiglio Ric & Sperimentaz Agr, Ctr Study Plant Soil Interact CRA RPS, I-00184 Rome, Italy

来源：

EUROPEAN JOURNAL OF REMOTE SENSING | 2013年 / 46卷

关键词：

Pixel-Based classification; Object-Based classification; Landsat archive imagery; land cover; single-date image; CLASSIFICATION; SEGMENTATION; DYNAMICS; TEXTURE; DEGRADATION; PHENOLOGY; SPACE; AREAS;

D O I：

10.5721/EuJRS20134641

中图分类号：

TP7 [遥感技术];

学科分类号：

081102 ; 0816 ; 081602 ; 083002 ; 1404 ;

摘要：

This paper proposes an approach for generating land cover information from single-date Landsat images integrating pixel-based and object-based classifiers in two study areas: the province of Oristano and the region of Campania. The process consisted in: a) preprocessing; b) segmentation; c) classification based on radiometric properties and integration with textural properties and vegetation indices. A good overall classification accuracy was obtained at the first (Oristano: 87%, Campania: 88%) and at the second (Oristano: 74%, Campania: 82%) CORINE Land Cover level. Results highlight the potential of the method to be replicated in time and space in the perspective of a semi-automatic and cost-efficient transferability of the procedure.

引用

页码：699 / 717

页数：19

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