scholarly journals Multi-Scale Feature Based Land Cover Change Detection in Mountainous Terrain Using Multi-Temporal and Multi-Sensor Remote Sensing Images

IEEE Access ◽  
2018 ◽  
Vol 6 ◽  
pp. 77494-77508 ◽  
Author(s):  
Fei Song ◽  
Zhuoqian Yang ◽  
Xueyan Gao ◽  
Tingting Dan ◽  
Yang Yang ◽  
...  
Keyword(s):  
Remote Sensing ◽  
Land Cover ◽  
Change Detection ◽  
Land Cover Change ◽  
Mountainous Terrain ◽  
Remote Sensing Images ◽  
Multi Scale ◽  
Multi Temporal ◽  
Feature Based ◽  
Land Cover Change Detection

scholarly journals Semi-Automatic System for Land Cover Change Detection Using Bi-Temporal Remote Sensing Images

2017 ◽  
Vol 9 (11) ◽  
pp. 1112 ◽  
Author(s):  
ZhiYong Lv ◽  
WenZhong Shi ◽  
XiaoCheng Zhou ◽  
Jón Benediktsson
Keyword(s):  
Remote Sensing ◽  
Land Cover ◽  
Change Detection ◽  
Land Cover Change ◽  
Automatic System ◽  
Remote Sensing Images ◽  
Land Cover Change Detection

scholarly journals Multi-Scale Object Histogram Distance for LCCD Using Bi-Temporal Very-High-Resolution Remote Sensing Images

2018 ◽  
Vol 10 (11) ◽  
pp. 1809 ◽  
Author(s):  
ZhiYong Lv ◽  
TongFei Liu ◽  
Jón Atli Benediktsson ◽  
Tao Lei ◽  
YiLiang Wan
Keyword(s):  
Remote Sensing ◽  
Land Cover ◽  
Change Detection ◽  
Land Cover Change ◽  
Spatial Information ◽  
Remote Sensing Images ◽  
Blue Band ◽  
Multi Scale ◽  
Evaluation Approach ◽  
Event Image

To improve the performance of land-cover change detection (LCCD) using remote sensing images, this study utilises spatial information in an adaptive and multi-scale manner. It proposes a novel multi-scale object histogram distance (MOHD) to measure the change magnitude between bi-temporal remote sensing images. Three major steps are related to the proposed MOHD. Firstly, multi-scale objects for the post-event image are extracted through a widely used algorithm called the fractional net evaluation approach. The pixels within a segmental object are taken to construct the pairwise frequency distribution histograms. An arithmetic frequency-mean feature is then defined from the red, green and blue band histogram. Secondly, bin-to-bin distance is adapted to measure the change magnitude between the pairwise objects of bi-temporal images. The change magnitude image (CMI) of the bi-temporal images can be generated through object-by-object. Finally, the classical binary method Otsu is used to divide the CMI to a binary change detection map. Experimental results based on two real datasets with different land-cover change scenes demonstrate the effectiveness of the proposed MOHD approach in detecting land-cover change compared with three widely used existing approaches.

scholarly journals Land Cover Change Detection Based on Adaptive Contextual Information Using Bi-Temporal Remote Sensing Images

2018 ◽  
Vol 10 (6) ◽  
pp. 901 ◽  
Author(s):  
Zhiyong Lv ◽  
Tongfei Liu ◽  
Penglin Zhang ◽  
Jón Atli Benediktsson ◽  
Yixiang Chen
Keyword(s):  
Remote Sensing ◽  
Land Cover ◽  
Change Detection ◽  
Land Cover Change ◽  
Contextual Information ◽  
Remote Sensing Images ◽  
Land Cover Change Detection
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