Automatic Boundary Extraction of Large-Scale Photovoltaic Plants Using a Fully Convolutional Network on Aerial Imagery
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Journal of Photovoltaics"
DOI: 10.1109/jphotov.2020.2992339
Abstract: This article presents a novel method for boundary extraction of photovoltaic (PV) plants using a fully convolutional network (FCN). Extracting the boundaries of PV plants is essential in the process of aerial inspection and autonomous… read more here.
Keywords: fully convolutional; plants using; photovoltaic plants; boundary extraction ... See more keywords
Boundary Extraction Constrained Siamese Network for Remote Sensing Image Change Detection
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Geoscience and Remote Sensing"
DOI: 10.1109/tgrs.2022.3165851
Abstract: Change detection (CD) is crucial to the understanding of relationships and interactions among multitemporal high-resolution remote sensing (RS) images. However, various inherent attributes of images have different impacts on CD judgment. How to effectively use… read more here.
Keywords: change detection; network; remote sensing; extraction ... See more keywords
MNDWI和NDWI指数提取富营养化湖泊水体边界的对比研究 Comparative Study on the Water Index of MNDWI and NDWI for Water Boundary Extraction in Eutrophic Lakes
Sign Up to like & getrecommendations! Published in 2017 at "Advances in Geosciences"
DOI: 10.12677/ag.2017.76074
Abstract: 本研究基于Landsat 8 OLI卫星影像，采用云南省中部地区的5个湖泊，即滇池、抚仙湖、阳宗海、星云湖和杞麓湖作为研究对象，其中滇池、星云湖、杞麓湖是富营养化湖泊，比较了两种水体指数，NDWI和MNDWI提取湖泊水体边界的精确度。结果表明：由于近红外波段能够较好的区分植被和水体，但也带来了藻类覆盖的水域容易被误识别为植被的情况。因此，采用NDWI提取的富营养化湖泊水体面积比实际值偏小，中红外波段对水分含量较为敏感，在富营养化湖泊中采用该指数可以有效的区分陆地和水体，排除藻类的干扰。因此，MNDWI更适合用于富营养化湖泊的水体边界提取。 This study is based on the Landsat 8 OLI satellite images, and uses 5 lakes as sample, which are Dianchi Lake, Fuxian Lake, Yangzonghai Lake, Xingyun Lake and Qilu Lake, there are… read more here.
Keywords: index; eutrophic lakes; water; water boundary ... See more keywords