Ralph R. Ferraro

12 papers C 3Journal 9
YearRankTypeTitle / Venue / Authors
2023 J jnl
IEEE Trans. Geosci. Remote. Sens.
Jifu Yin, Xiwu Zhan, Michael Barlage, Jicheng Liu, Huan Meng, Ralph R. Ferraro
2023 J jnl
IEEE Trans. Geosci. Remote. Sens.
Jifu Yin, Xiwu Zhan, Michael Barlage, Jicheng Liu, Huan Meng, Ralph R. Ferraro
2022 J jnl
Remote. Sens.
Jifu Yin, Xiwu Zhan, Jicheng Liu, Ralph R. Ferraro
2022 J jnl
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens.
Yalei You, Huan Meng, Jun Dong, Yongzhen Fan, Ralph R. Ferraro, Guojun Gu, Likun Wang
2020 J jnl
Remote. Sens.
Sante Laviola, Giulio Monte, Vincenzo Levizzani, Ralph R. Ferraro, James Beauchamp
2020 J jnl
Remote. Sens.
Sante Laviola, Vincenzo Levizzani, Ralph R. Ferraro, James Beauchamp
2020 J jnl
Remote. Sens.
Wenze Yang, Huan Meng, Ralph R. Ferraro, Yong Chen
2017 C conf
IGARSS
Paul S. Chang, Zorana Jelenak, Suleiman Alsweiss, Seubson Soisuvarn, Patrick C. Meyers, Ralph R. Ferraro
2017 J jnl
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens.
Ralph R. Ferraro, Patrick C. Meyers, Paul S. Chang, Zorana Jelenak, Christopher Grassotti, Shuyan Liu
2016 J jnl
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens.
Patrick C. Meyers, Ralph R. Ferraro
2015 C conf
IGARSS
Patrick C. Meyers, Ralph R. Ferraro
2003 C conf
IGARSS
Ralph R. Ferraro, Jeffrey R. McCollum
redb/extractors/decompiler/bninja/analysis/medium_level_normalization.py
← Index redb/extractors/decompiler/bninja/analysis/medium_level_normalization.py python
from binaryninja import (
    MediumLevelILInstruction,
    Variable, SSAVariable,
    ILIntrinsic,
)


class MediumLevelNormalization:
    def __init__(self):
        return

    def _collect_ops(self, il, ops):
        if il is None:
            return
        ops.append(int(il.operation))
        operands = getattr(il, "operands", None)
        if not operands:
            return
        for op in operands:
            if isinstance(op, MediumLevelILInstruction):
                self._collect_ops(op, ops)
            elif isinstance(op, (list, tuple)):
                for sub in op:
                    if isinstance(sub, MediumLevelILInstruction):
                        self._collect_ops(sub, ops)

    def normalize_instruction_all_levels(self, instr_il):
        ops = []
        self._collect_ops(instr_il, ops)
        return ops

    def _leaf_type(self, val):
        if isinstance(val, SSAVariable):
            return "SSA_VAR"
        if isinstance(val, Variable):
            return "VAR"
        if isinstance(val, ILIntrinsic):
            return "INTRINSIC"
        if isinstance(val, bool):
            return "BOOL"
        if isinstance(val, float):
            return "FLOAT_CONST"
        if isinstance(val, int):
            return "CONST"
        if isinstance(val, str):
            return "STR"
        return type(val).__name__.upper()

    def _collect(self, il, out_op):
        if il is None:
            return
        out_op.append(int(il.operation))
        operands = getattr(il, "operands", None)
        if not operands:
            return
        for op in operands:
            if isinstance(op, MediumLevelILInstruction):
                self._collect(op, out_op)
            elif isinstance(op, (list, tuple)):
                for sub in op:
                    if isinstance(sub, MediumLevelILInstruction):
                        self._collect(sub, out_op)
                    else:
                        out_op.append(self._leaf_type(sub))
            else:
                out_op.append(self._leaf_type(op))

    def normalize_instr_with_operands(self, instr_il):
        ops = []
        self._collect(instr_il, ops)
        return ops