XXII ISPRS Congress 2012: Technical Commission VII

Bibliographic data

Multivolume work

Persistent identifier:: 1663813779

Title:: XXII ISPRS Congress 2012

Sub title:: Melbourne, Australia, 25 August-1 September 2012

Year of publication:: 2013

Place of publication:: Red Hook, NY

Publisher of the original:: Curran Associates, Inc.

Identifier (digital):: 1663813779

Language:: English

Additional Notes:: Kongress-Thema: Imaging a sustainable future

Corporations:: International Society for Photogrammetry and Remote Sensing, Congress, 22., 2012, Melbourne; International Society for Photogrammetry and Remote Sensing

Adapter:: International Society for Photogrammetry and Remote Sensing, Congress, 22., 2012, Melbourne; International Society for Photogrammetry and Remote Sensing

Founder of work:: International Society for Photogrammetry and Remote Sensing, Congress, 22., 2012, Melbourne; International Society for Photogrammetry and Remote Sensing

Other corporate:: International Society for Photogrammetry and Remote Sensing, Congress, 22., 2012, Melbourne; International Society for Photogrammetry and Remote Sensing

Document type:: Multivolume work

Volume

Persistent identifier:: 1663821976

Title:: Technical Commission VII

Scope:: 546 Seiten

Year of publication:: 2013

Place of publication:: Red Hook, NY

Publisher of the original:: Curran Associates, Inc.

Identifier (digital):: 1663821976

Illustration:: Illustrationen, Diagramme

Signature of the source:: ZS 312(39,B7)

Language:: English

Additional Notes:: Erscheinungsdatum des Originals ist ermittelt.; Literaturangaben

Usage licence:: Attribution 4.0 International (CC BY 4.0)

Corporations:: International Society for Photogrammetry and Remote Sensing, Congress, 22., 2012, Melbourne; International Society for Photogrammetry and Remote Sensing

Adapter:: International Society for Photogrammetry and Remote Sensing, Congress, 22., 2012, Melbourne; International Society for Photogrammetry and Remote Sensing

Founder of work:: International Society for Photogrammetry and Remote Sensing, Congress, 22., 2012, Melbourne; International Society for Photogrammetry and Remote Sensing

Other corporate:: International Society for Photogrammetry and Remote Sensing, Congress, 22., 2012, Melbourne; International Society for Photogrammetry and Remote Sensing

Publisher of the digital copy:: Technische Informationsbibliothek Hannover

Place of publication of the digital copy:: Hannover

Year of publication of the original:: 2019

Document type:: Volume

Collection:: Earth sciences

Chapter

Title:: [VII/3: INFORMATION EXTRACTION FROM HYPERSPECTRAL DATA]

Document type:: Multivolume work

Structure type:: Chapter

Chapter

Title:: STUDY ON OIL-GAS RESERVOIR DETECTING METHODS USING HYPERSPECTRAL REMOTE SENSING Qingjiu Tian

Document type:: Multivolume work

Structure type:: Chapter

Legend Hydrocarbon Cloud Shadow Camelback Mountain Sebei Gas «> BE Figure 2. Extraction of Hydrocarbon Seeps 2.5 The Extraction of Alteration Minerals Using Hyperion data The identification of alteration minerals using Hyperspectral Remote Sensing can detect hydrocarbon microseepage and locate oil/gas deposits indirectly. This article combines the method Linear Spectral Unmixing (LSU) and algorithms of Spectral Angle Matching (SAM) for determining the mineral composition counterparts of hyperspectral Remote Sensing endmember. Identification precision is enhanced by using methods of subtracting the hyperspectral image bands rationally and algorithms of determining endmembers. What is more, integrating materials derived from field surveys of geology, a complex progress ensures the accuracy of image endmembers' corresponding minerals concentration and composition. According to the geochemical data of mineral composition, our studying area is characterized by three main alteration minerals: clay minerals (of which illite is the represent type), carbonate minerals (of which calcite is the represent type) and other minerals (of which rock salt is representing). Spectrums of the three minerals noted above are obtained from reference JPL spectral library. Application of linear mixing for different proportions of the three minerals, control increment of 5% each time, a group of simulation spectrums are derived, with intervals containing both clay and carbonate's common absorption features at wavelengths from 2.0 to 2.5um. Efforts to find the best matching simulation spectrum for endmember have been made by using SAM and SFF spectral analysis methods at the same time. Supposing that simulation spectrum's counterpart minerals composition can be termed as the corresponding composition of mixed minerals to endmembers, the mixed minerals concentration and composition as counterpart of endmembers are determined by combining the field survey geology materials simultaneously. Figure 3 shows the identification results of alteration minerals using SAM algorithms. Rock salt and carbonate minerals of high concentration are concentrated at the upper-middle part of the image, where the true colour composite image appears a greyish high reflection area. The area is characterized of development of yardang landform and the surface of the land is covered by saline sandy soil (of which silicon and rock salt are the main form), and the abundance of fragments of carbonate, sand, and rock salt might be result in the weathering and International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Volume XXXIX-B7, 2012 XXII ISPRS Congress, 25 August — 01 September 2012, Melbourne, Australia sedimentary movement. Meanwhile, a minor concentrate also exist in the top of Sebei Gas Field’s 2 well, for the reason that seeping hydrocarbons reaching the near-surface as well as the moisture environment near marsh generate a circumstance of deoxidization leading to the carbonate's alteration. What is more, the moisture surface environment can also facilitate the rising of concentration of rock salt. The main distribution of high concentration of illite and carbonate near Sebei Gas Field’s 2 well and marsh area coincidents with the petroleum indication of our studying area. As is known to us that Gas Reservoir is a concentrating place of hydrocarbon, the exploit of gas and the moisture condition near marsh area contribute greatly to the region’s alteration of clay and carbonate minerals. Banded spreading areas similar as known petroleum indications along Camelback Mountain anticlinal structure can be illustrated by that seeping hydrocarbons are present in the form of transversely cutting off the structure, and in fact cause the abundance of clay minerals and carbonate minerals alteration. Figure 4 shows the identification result of alteration minerals by using LSU algorithms. Identification result exposed more serious problems such as mixture type of minerals, overlapping, and the underrate of distribution area (Figure 4) than SAM, which turns out that the areas of alteration minerals derived from LSU method are smaller than that of SAM, as well as some difference in locations of minerals. Several minerals do not emerge in the anticipated area according to the identify result. For example, illite and carbonate of high concentration seldom appear in the SeBei Gas Field and Camelback Mountain anticlinal structure. The difference might be attributed to the algorithms. SAM measures similarity by calculating the angle between the N-Dimension space reference spectral (endmembers spectral) and the unknown spectral (Hyperion image spec tral) whose result is subject to spectral shape, but of little relevant to spectral reflectance. However, method LSU suffers from effects both spectral shape and reflectance. The SeBei Gas Field 2 well Camelback Mountain anticlinal structure leading to a development of yardang landform, as well as its near to marsh, a moisture soil altogether contribute to the depressing of reflectance, posing a situation that while identification worked for SAM algorithm, it does not feasible for LSU method. Conclusion: based on alteration minerals’ diagnostic absorption spectral feature and the low signal-to-noise ratio of Hyperion, assuming the mixture of the 3 minerals’ spectrum noted above consists the endmember spectrum of image in this study, a combination of method Linear Spectral Unmixing (LSU) and algorithms of Spectral Angle Matching (SAM) can effecively determine the mineral composition counterparts of hyperspectral image endmember. A resampling result of Hyperion’s 175 bands has been used to identify the alteration minerals using both SAM and LSU methods. Accessing the identification precisions of different methods, the comparison result indicates that a resampling-based SAM method fits the known gas reservoir distribution best.

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