A Study of Lake Wetland Information Automatic Extraction Based on the Interpolation and Threshold Method

2012 ◽  
Vol 433-440 ◽  
pp. 6674-6677
Author(s):  
Zhi Hong An ◽  
Yong Jun Sun ◽  
De Zhi Chen ◽  
Yun Feng Qiu
Keyword(s):  
Remote Sensing ◽  
Yellow River ◽  
Source Region ◽  
Structural Features ◽  
Automatic Extraction ◽  
Threshold Method ◽  
Remote Sensing Technology ◽  
Sensing Technology ◽  
Human Material ◽  
Yellow River Source

Lake is one of the most type important wetland; remote sensing technology applied on wetland had become a research hotspot of wetlands. Automatic or semi-automatic extraction using computer wetland information extraction can improve the efficiency in the human, material, etc. From remote sensing images automatically extract wetland information is important for Wetland research and putting forward Utilization. In this paper, Yellow River source region for the test area, we use interpolation and threshold method automatically to extract lake information from ETM + images. Making use of both spectral and structural features of lake, this method acquired a good result.

A New Index for Steel Framed Roof Information Extraction Based on Remote Sensing

2013 ◽  
Vol 726-731 ◽  
pp. 4682-4685 ◽  
Author(s):  
Jie Ying Xiao ◽  
Na Ji ◽  
Xing Li
Keyword(s):  
Remote Sensing ◽  
Satellite Images ◽  
Spectral Characteristics ◽  
Threshold Method ◽  
Rapid Urbanization ◽  
Surface Information ◽  
Remote Sensing Technology ◽  
Economic Significance ◽  
Tm Image ◽  
Sensing Technology

There are a great number of index methods used to extract impervious surface from satellite images. However, these indices are not robust enough to detect steel framed roof due to the diversity of impervious materials. The extraction of steel framed roof information by remote sensing technology is becoming increasingly important because of its environmental and socio-economic significance. A new index, Normalized Difference Steel framed roof Index (NDSI) is proposed to extract steel framed roof surface information from TM images. The NDSI was created based on its spectral characteristics of TM image and the steel framed roof information can be extracted fast by NDSI threshold method. Additionally, Shijiazhuang city, which has experienced rapid urbanization, was chosen as the study area. And the classification results show that the new index NDSI can effectively extract steel framed roof information with higher accuracy.

Hyperspectral Remote Sensing Technology (HRST) program

1997 ◽  
Author(s):  
Tom Wilson ◽  
Rebecca Baugh ◽  
Ron Contillo ◽  
Tom Wilson ◽  
Rebecca Baugh ◽  
...  
Keyword(s):  
Remote Sensing ◽  
Hyperspectral Remote Sensing ◽  
Remote Sensing Technology ◽  
Sensing Technology

Application of remote sensing technology to the relation of submarine pipelines and coastal morphology

1995 ◽  
Vol 32 (2) ◽  
pp. 77-83
Author(s):  
Y. Yüksel ◽  
D. Maktav ◽  
S. Kapdasli
Keyword(s):  
Remote Sensing ◽  
Sediment Transport ◽  
Surf Zone ◽  
Hydrodynamic Forces ◽  
Construction Site ◽  
Coastal Morphology ◽  
Remote Sensing Technology ◽  
Sensing Technology ◽  
Sea Bed

Submarine pipelines must be designed to resist wave and current induced hydrodynamic forces especially in and near the surf zone. They are buried as protection against forces in the surf zone, however this procedure is not always feasible particularly on a movable sea bed. For this reason the characteristics of the sediment transport on the construction site of beaches should be investigated. In this investigation, the application of the remote sensing method is introduced in order to determine and observe the coastal morphology, so that submarine pipelines may be protected against undesirable seabed movement.

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