Semi-automatic detection and counting of oil palm trees from high spatial resolution airborne imagery-Reference-Cited by-同舟云学术

Semi-automatic detection and counting of oil palm trees from high spatial resolution airborne imagery

Published:2011-03-29 Issue:8 Volume:32 Page:2095-2115
ISSN:0143-1161
Container-title:International Journal of Remote Sensing
language:en
Short-container-title:International Journal of Remote Sensing

Author:

Shafri Helmi Z. M.¹,Hamdan Nasrulhapiza¹,Saripan M. Iqbal²

Affiliation:

1. a Geomatics Engineering Unit, Department of Civil Engineering , Faculty of Engineering, Universiti Putra Malaysia (UPM) , 43400, Serdang, Selangor, Malaysia

2. b Department of Computer and Communication System Engineering , Faculty of Engineering, Universiti Putra Malaysia (UPM) , 43400, Serdang, Selangor, Malaysia

Publisher

Informa UK Limited

Subject

General Earth and Planetary Sciences

Link

https://www.tandfonline.com/doi/pdf/10.1080/01431161003662928

Reference25 articles.

1. Classification and feature extraction for remote sensing images from urban areas based on morphological transformations

2. Automated delineation of individual tree crowns in high spatial resolution aerial images by multiple-scale analysis

3. TIDA: an algorithm for the delineation of tree crowns in high spatial resolution remotely sensed imagery

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