Using texture analysis to improve per-pixel classification of very high resolution images for mapping plastic greenhouses

Author:

Agüera Francisco,Aguilar Fernando J.,Aguilar Manuel A.

Publisher

Elsevier BV

Subject

Computers in Earth Sciences,Computer Science Applications,Engineering (miscellaneous),Atomic and Molecular Physics, and Optics

Reference30 articles.

1. Detecting greenhouse changes from QB imagery on the Mediterranean Coast;Agüera;International Journal of Remote Sensing,2006

2. Aguilar, M.A., Aguilar, F.J., Sánchez, J.A., Carvajal, F, Agüera, F., 2005. Geometric correction of the QuickBird high resolution panchromatic images. In: Proc. XXII International Cartographic Conference, A Coruña, 9–16 July, 7 p. (on CDROM)

3. Structural damage assessments from ikonos data using change detection, object-oriented segmentation, and classification techniques;Al-Khudhairy;Photogrammetric Engineering and Remote Sensing,2005

4. Evaluation of textural and multipolarization radar features for crop classification;Anys;IEEE Transactions on Geoscience and Remote Sensing,1995

5. Examining the effect of spatial resolution and texture window size on classification accuracy: An urban environment case;Chen;International Journal of Remote Sensing,2004

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