@inproceedings{285ac26f6f7649f5b701b3d5712e3400,
title = "Hyperspectral image vegetation change detection based on biochemical parameters inversion",
abstract = "Change detection of remote sensing images is a technology that one can get the change information by observing images of the same place obtained at different times. Hyperspectral remote sensing images can record detailed spectral information and reflect subtle differences between target and background. Hyperspectral change detection methods focus on changes between the different categories of feature, without fully taking the changes within the single ground type into account. In this paper, a hyperspectral vegetation change detection method based on biochemical parameters inversion is proposed. The change can be extracted from the vegetation biochemical parameters image by analyzing leaf water content, lignin content and other biochemical parameters. Experiments are conducted on both airborne and ground-based observation data. It shows that the change detection method based on biochemical parameters inversion reaches a high detection rate of 87.5\% with a low false detection rate, which demonstrates superiority of the change detection methodology we proposed compared to other traditional methods.",
keywords = "Change detection, Component analysis, Hyperspectral remote sensing image, Vegetation biochemical parameters, Vegetation index",
author = "Qingyan Wang and Junping Zhang",
note = "Publisher Copyright: {\textcopyright} Springer Nature Singapore Pte Ltd. 2019.; 6th International Conference on Communications, Signal Processing, and Systems, CSPS 2017 ; Conference date: 14-07-2017 Through 16-07-2017",
year = "2019",
doi = "10.1007/978-981-10-6571-2\_77",
language = "英语",
isbn = "9789811065705",
series = "Lecture Notes in Electrical Engineering",
publisher = "Springer Verlag",
pages = "629--637",
editor = "Qilian Liang and Min Jia and Jiasong Mu and Wei Wang and Xuhong Feng and Baoju Zhang",
booktitle = "Communications, Signal Processing, and Systems - Proceedings of the 2017 International Conference on Communications, Signal Processing, and Systems",
address = "德国",
}