Applying the chi-square transformation and automatic secant thresholding to Landsat imagery as unsupervised change detection methods

Title
Applying the chi-square transformation and automatic secant thresholding to Landsat imagery as unsupervised change detection methods
Authors
Keywords
-
Journal
Journal of Applied Remote Sensing
Volume 11, Issue 1, Pages 016016
Publisher
SPIE-Intl Soc Optical Eng
Online
2017-02-01
DOI
10.1117/1.jrs.11.016016

Ask authors/readers for more resources

Find the ideal target journal for your manuscript

Explore over 38,000 international journals covering a vast array of academic fields.

Search

Ask a Question. Answer a Question.

Quickly pose questions to the entire community. Debate answers and get clarity on the most important issues facing researchers.

Get Started