Object-Oriented Information Extraction Using HJ-1 Remote Sensing: The Case on Changbai Mountain, Northeast China

2012 ◽  
Author(s):  
Hao Yu ◽  
Chongchang Wang ◽  
Chunying Ren
Keyword(s):  
Remote Sensing ◽  
Information Extraction ◽  
Northeast China ◽  
Object Oriented ◽  
Changbai Mountain

Object-oriented information extraction of forest resources from high resolution remote sensing

2006 ◽  
Author(s):  
Dengkui Mo ◽  
Hui Lin ◽  
Hua Sun ◽  
Jiping Li ◽  
Yujiu Xiong ◽  
...  
Keyword(s):  
Remote Sensing ◽  
High Resolution ◽  
Information Extraction ◽  
Object Oriented ◽  
Forest Resources

Seismic Damage Information Extent about the Buildings Based on Low-Altitude Remote Sensing Images of Mianzu Quake-Stricken Areas

2011 ◽  
Vol 105-107 ◽  
pp. 1889-1893 ◽  
Author(s):  
Tao Zeng ◽  
Wu Nian Yang ◽  
Xiao Dong Li
Keyword(s):  
Remote Sensing ◽  
Image Processing ◽  
Information Extraction ◽  
Large Scale ◽  
Object Oriented ◽  
Image Objects ◽  
Sensing Platforms ◽  
Building Information ◽  
Low Altitude ◽  
True Color

Using large-scale true-color images of Zundao Town of Mianzhu quake-hit areas gained form low-altitude remote sensing platforms, the author processed those images based on the 3S and image processing technology, then to presents a new object-oriented scheme of damaged building information extraction in the 5.12 Earthquake from the high-resolution low-altitude remote sensing in Zundao Town of Mianzhu. The scheme has two steps. The first step is that the whole imagery was segmented into image objects which do not intersect mutually. The second step is that to extract damaged buildings and undamaged ones with the features used to classify, like spectral, texture, shape and context. The experimental results indicate that the fast image processing method of UAV and the new object-oriented information extraction technique have high accuracy compared to the traditional classification methods and have a great application potential.

scholarly journals Information Extraction and Dynamic Monitoring of Autumn Grain Crops in Heishan Area Based on Landsat8 Remote Sensing Image

2018 ◽  
Vol 53 ◽  
pp. 03063
Author(s):  
Ding Hua ◽  
Li Ruren ◽  
Liu Yumei
Keyword(s):  
Remote Sensing ◽  
Information Extraction ◽  
Object Oriented ◽  
Liaoning Province ◽  
Dynamic Monitoring ◽  
Remote Sensing Images ◽  
Grain Crops ◽  
The Past ◽  
Elevation Data ◽  
Northeast Of China

Based on not only the basic data of total 9-phase Landsat8 OLI remote sensing images from 2013 to 2016 in Heishan District, Jinzhou City, Liaoning Province, also the supplementary data of highresolution remote sensing images and elevation data in Heishan District, as well as phenology data in Northeast of China, the remote sensing images of the studied areas were classified by various methods and the classification results were evaluated accurately. The results show that the method of object-oriented classification obtains the best effect and highest precision on the information extraction of autumn grain crops. Its overall spatial distribution accuracy is about 95.2091%, and the Kappa coefficient is 0.9360. The method of object-oriented classification was applied to the dynamic monitoring of autumn crops in the researched areas in recent years, and then the analysis of the main autumn crops in there from 2013 to 2016 showed that the rice areas increased significantly in the past four years, while the corn areas have shrunk by nearly one-fifth.

scholarly journals INFORMATION EXTRACTION AND CHANGE ANALYSIS OF MAJOR LAKES IN TIBETAN PLATEAU BASED ON LANDSAT REMOTE SENSING IMAGES

2017 ◽  
Vol XLII-2/W7 ◽  
pp. 1541-1546
Author(s):  
Y. J. Li ◽  
G. Qiao
Keyword(s):  
Remote Sensing ◽  
Growth Rate ◽  
Tibetan Plateau ◽  
Information Extraction ◽  
Object Oriented ◽  
Classification Method ◽  
Qinghai Lake ◽  
Remote Sensing Images ◽  
Nam Co ◽  
Lake Nam Co

The water resources of Tibetan plateau, particularly the lakes, has been influenced by global climate change and also reacted to global change. It is important to study the lake changes in the Tibetan plateau. This paper aimed to analyse the changes detected from remote sensing images for the typical lakes in Tibetan Plateau, including Qinghai Lake, Nam Co and Selin Co, using different information extraction methods, such as the single-band threshold method, NDWI, MNDWI, MSCT, MLC, SVM and object-oriented classification method. Results show that object-oriented classification method is better at removing ice, snow, cloud and mountain shadow, while the NDWI and MNDWI generated the worst results for lake extraction. After that, the lake's long temporal changes for Qinghai Lake, Nam Co and Selin Co derived from 12 images in different periods have been analysed using GIS technology. Results show that between 1985 and 2015, Qinghai Lake has expanded after a steady expansion; Nam Co was in the state about stable to expansion to stable. The area increased by 70.03&amp;thinsp;km<sup>2</sup>, a growth rate of 2.33&amp;thinsp;km<sup>2</sup>&amp;thinsp;a<sup>-1</sup> and had a small change in area; Selin Co expanded after a stable state, and the area is always growing, and Selin Co's growth rate is larger than Qinghai Lake and Nam Co at the same time.

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