THE EXTRACTION OF WATERBODY INFORMATION BASED<br />
ON THE SPECTRAL ANGLE

doi:10.6046/gtzyyg.2009.02.21

Download: PDF(1487 KB)
Export: BibTeX | EndNote | Reference Manager | ProCite | RefWorks

Abstract

The waterbody information extraction method based on the spectral angle is proposed in this paper.

Nanjing was chosen as the study area and the Landsat ETM+ image (band 1～5, 7) was regarded as the test data. The

acquisition date of the image was July 17，2001 and the size of the image was 2048 columns by 2048 rows pixels. The

spectral characteristics of different ground objects in different bands were analyzed and four spectral angles (band

2～5) were calculated. Then the vegetation was separated using the differences of spectral angles in band 4. The

result of the separation of water information from shade was also quite well. Finally, the residential area was

separated easily using the differences of reflectance in band 4 and band 5.

Keywords Synthetic aperture radar (SAR) Image integration Uranium resource

TP 79

Issue Date: 12 June 2009

	Service

	E-mail this article
	E-mail Alert
	RSS
	Articles by authors

Cite this article:

JIANG Teng-Long, ZHAO Shu-He, XIAO Peng-Feng, CHEN Shu-Xin. THE EXTRACTION OF WATERBODY INFORMATION BASED
ON THE SPECTRAL ANGLE[J]. REMOTE SENSING FOR LAND & RESOURCES,2009, 21(2): 102-105.

URL:

https://www.gtzyyg.com/EN/10.6046/gtzyyg.2009.02.21 OR https://www.gtzyyg.com/EN/Y2009/V21/I2/102

[1]	LI Yuan, WU Lin, QI Wenwen, GUO Zhengwei, LI Ning. A SAR image classification method based on an improved OGMRF-RC model[J]. Remote Sensing for Natural Resources, 2021, 33(4): 98-104.
[2]	JIANG Shan, WANG Chun, SONG Hongli, LIU Yufeng. A study of crop planting type recognition based on SAR and optical remote sensing data[J]. Remote Sensing for Land & Resources, 2020, 32(4): 105-110.
[3]	Hongrui ZHENG, Zhigang XU, Le GAN, Ling CHEN, Jinzhong YANG, Peijun DU. Synthetic aperture Radar remote sensing technology in geological application: A review[J]. Remote Sensing for Land & Resources, 2018, 30(2): 12-20.
[4]	DU Pei-Jun, SUN Dun-Xin, LIN Hui. THE IMPACT OF WINDOW SIZE UPON SAR IMAGE FILTERING[J]. REMOTE SENSING FOR LAND & RESOURCES, 2006, 18(2): 12-15.
[5]	Rui Benshan, Zhao Yingjun, Pan Wei . APPLICATION OF SAR AND TM IMAGE INTEGRATION TECHNOLOGY IN URANIUM RESOURCE INVESTIGATION IN THE EAST OF ZHUNGEER[J]. REMOTE SENSING FOR LAND & RESOURCES, 1998, 10(3): 61-63.
[6]	Jia Yonghong, Li Deren . COMPARISON OF IHS TRANSFORMATION FOR INTEGRATING SAR AND TM IMAGES[J]. REMOTE SENSING FOR LAND & RESOURCES, 1997, 9(3): 34-39.