Land-use/land-cover change detection by using the extended change-vector analysis

Detecting land-use/land-cover (LULC) changes in rural-urban fringe areas (RUFAs) timely and accurately using satellite imagery is essential for land-use planning and management in China. Although traditional spectral-based change-vector analysis (CVA) can offer an effective method of LULC-change det...

Ausführliche Beschreibung

Bibliographische Detailangaben

Hauptverfasser:	He, Chunyang, Yuanyuan Zhao, Anni Wei
Format:	Tagungsbericht
Sprache:	eng
Schlagworte:	Accuracy change-vector analysis Data mining Earth land-use/land-cover change Pixel Remote sensing rural-urban fringe area Satellites Support vector machines texture information
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