human: Given a hyperedge-centered hypergraph: <hypergraph>, where the center hyperedge is induced by one source paper and its member nodes are the cited papers.

Details of the hypergraph:
Center hyperedge (induced by source paper "major limitations of satellite images"):
  Abstract: Remote sensing has proven to be a powerful tool for the monitoring of the Earth surface to improve our perception of our surroundings has led to unprecedented developments in sensor and information technologies. However, technologies for effective use of the data and for extracting useful information from the data of Remote sensing are still very limited since no single sensor combines the optimal spectral, spatial and temporal resolution. This paper briefly reviews the limitations of satellite remote sensing. Also, reviews on the problems of image fusion techniques. The conclusion of this, According to literature, the remote sensing is still the lack of software tools for effective information extraction from remote sensing data. The trade-off in spectral and spatial resolution will remain and new advanced data fusion approaches are needed to make optimal use of remote sensors for extract the most useful information.

Includes members:
  Member "a novel metric approach evaluation for the spatial enhancement of pan sharpened images":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "image fusion technologies in commercial remote sensing packages")
  Member "spatial and spectral quality evaluation based on edges regions of satellite image fusion":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "image fusion technologies in commercial remote sensing packages")
  Member "the statistical methods of pixel based image fusion techniques":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "image fusion technologies in commercial remote sensing packages")
  Member "the ihs transformations based image fusion":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "image fusion technologies in commercial remote sensing packages")
  Member "arithmetic and frequency filtering methods of pixel based image fusion techniques":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "spatial and spectral quality evaluation based on edges regions of satellite image fusion")

Question: Please tell me which class the source paper belongs to. The 40 classes are: cs.NA(Numerical Analysis), cs.MM(Multimedia), cs.LO(Logic in Computer Science), cs.CY(Computers and Society), cs.CR(Cryptography and Security), cs.DC(Distributed, Parallel, and Cluster Computing), cs.HC(Human-Computer Interaction), cs.CE(Computational Engineering, Finance, and Science), cs.NI(Networking and Internet Architecture), cs.CC(Computational Complexity), cs.AI(Artificial Intelligence), cs.MA(Multiagent Systems), cs.GL(General Literature), cs.NE(Neural and Evolutionary Computing), cs.SC(Symbolic Computation), cs.AR(Hardware Architecture), cs.CV(Computer Vision and Pattern Recognition), cs.GR(Graphics), cs.ET(Emerging Technologies), cs.SY(Systems and Control), cs.CG(Computational Geometry), cs.OH(Other Computer Science), cs.PL(Programming Languages), cs.SE(Software Engineering), cs.LG(Machine Learning), cs.SD(Sound), cs.SI(Social and Information Networks), cs.RO(Robotics), cs.IT(Information Theory), cs.PF(Performance), cs.CL(Computation and Language), cs.IR(Information Retrieval), cs.MS(Mathematical Software), cs.FL(Formal Languages and Automata Theory), cs.DS(Data Structures and Algorithms), cs.OS(Operating Systems), cs.GT(Computer Science and Game Theory), cs.DB(Databases), cs.DL(Digital Libraries), cs.DM(Discrete Mathematics). Directly output the class name.

gpt: cs.CV(Computer Vision and Pattern Recognition)