STUDY ON OIL-GAS RESERVOIR DETECTING METHODS USING HYPERSPECTRAL REMOTE SENSING
Oil-gas reservoir exploration using hyperspectral remote sensing, which based on the theory of hydrocarbon microseepage information and fine spectral response of target, is a new direction for the application of remote sensing technology. In this paper, Qaidam Basin and Liaodong Bay in China were...
Main Author: | Q. Tian |
---|---|
Format: | Article |
Language: | English |
Published: |
Copernicus Publications
2012-07-01
|
Series: | The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
Online Access: | https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XXXIX-B7/157/2012/isprsarchives-XXXIX-B7-157-2012.pdf |
Similar Items
-
Detection and classification methods for hyperspectral remote sensing imagery
by: 杜德銘
Published: (1997) -
Detection and attribution of drought and oil-induced plant stress using hyperspectral remote sensing
by: Elujoba, Patrick Adetokunbo
Published: (2018) -
Investigation of nonlinearity in hyperspectral remotely sensed imagery
by: Han, Tian
Published: (2009) -
Anomaly Detection from Hyperspectral Remote Sensing Imagery
by: Qiandong Guo, et al.
Published: (2016-12-01) -
Algorithm for eliminating gas absorption effects on hyperspectral remote sensing data
by: Olga Nikolaeva
Published: (2018-04-01)