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Open AccessArticle

Pen Culture Detection Using Filter Tensor Analysis with Multi-Temporal Landsat Imagery

by Yanxin Xi 1,2,3, Luyan Ji 1,2,* and Xiurui Geng 1,2,3
1
Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China
2
Key Laboratory of Technology in Geo-Spatial information Processing and Application System, Beijing 100190, China
3
University of Chinese Academy of Sciences, Beijing 100049, China
*
Author to whom correspondence should be addressed.
Remote Sens. 2020, 12(6), 1018; https://doi.org/10.3390/rs12061018
Received: 13 February 2020 / Revised: 9 March 2020 / Accepted: 17 March 2020 / Published: 22 March 2020
(This article belongs to the Special Issue Remote Sensing for Fisheries and Aquaculture)
Aquaculture plays an important role in China’s total fisheries production nowadays, and it leads to a few problems, for example water quality degradation, which has damaging effect on the sustainable development of environment. Among the many forms of aquaculture that deteriorate the water quality, disorderly pen culture is especially severe. Pen culture began very early in Yangchenghu Lake and Taihu Lake in China and part of the pen culture still exists. Thus, it is of great significance to evaluate the distribution and area of the pen culture in the two lakes. However, the traditional method for pen culture detection is based on the factual measurement, which is labor and time consuming. At present, with the development of remote sensing technologies, some target detection algorithms for multi/hyper-spectral data have been used in the pen culture detection, but most of them are intended for the single-temporal remote sensing data. Recently, a target detection algorithm called filter tensor analysis (FTA), which is specially designed for multi-temporal remote sensing data, has been reported and has achieved better detection results compared to the traditional single-temporal methods in many cases. This paper mainly aims to investigate the pen culture in Yangchenghu Lake and Taihu Lake with FTA implemented on the multi-temporal Landsat imagery, by determining the optimal time phases combination of the Landsat data in advance. Furthermore, the suitability and superiority of FTA over Constrained Energy Minimization (CEM) in the process of pen culture detection were tested. It was observed in the experiments on the data of those two lakes that FTA can detect the pen culture much more accurately than CEM with Landsat data of selected bands and of limited number of time phases. View Full-Text
Keywords: quaculture; pen culture; filter tensor analysis (FTA); multi-temporal; Landsat imagery; remote sensing quaculture; pen culture; filter tensor analysis (FTA); multi-temporal; Landsat imagery; remote sensing
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MDPI and ACS Style

Xi, Y.; Ji, L.; Geng, X. Pen Culture Detection Using Filter Tensor Analysis with Multi-Temporal Landsat Imagery. Remote Sens. 2020, 12, 1018.

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