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

By Francisco Agüera, Fernando Jose Aguilar, Manuel Angel Aguilar. 2008

197 citations recorded by the source corpus.

Subfields: Ecology, Global and Planetary Change, Media Technology

View Paper: https://www.semanticscholar.org/paper/0afbefc95e3311e6c5cc8e0d87458b77ad5f1114

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Ecology

1. Xiaoyu Chen
2. Rongjun Qin
3. H. Yao

In Global and Planetary Change

1. Xiaoyu Chen
2. Rongjun Qin
3. H. Yao

In Media Technology

1. Xiaoyu Chen
2. Rongjun Qin
3. H. Yao

Citations in the corpus

• Unmanned Aerial Vehicle for Remote Sensing Applications - A Review (2019, methodology): “In HR and VHR image processing, texture features have been widely used to improve LULC classification accuracy [76,77], such as grey-level concurrent matrixes (GLCMs) [78] and local binary patterns (LBPs) [79–81].”